Careers at NICE Software Solutions
Build a future in Data Engineering, Data Analytics, Business Intelligence, and AI, where your work drives measurable business impact. Join a global analytics consulting firm solving enterprise challenges while accelerating your career growth.
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At NICE, careers are built with intention combining cutting-edge
technology, continuous learning, and global exposure.
technology, continuous learning, and global exposure.
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Benefits That Support Your Professional and Personal Life
Fitness & wellness partnerships
Local restaurant & lifestyle tie-ups
Clearly defined career progression paths
Upskilling & Cross-skilling programs
Flexible Work Hours
Sustainable work–life balance
Health & accident insurance
Upskilling & Cross-skilling programs
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Opportunities across Data Engineering, Data Analytics, BI, AI,
Cloud Engineering, Consulting, and Support Functions.
Cloud Engineering, Consulting, and Support Functions.
AI Engineer
- FullTime
- EXP : 4+ Years
- Nagpur , India
Job Summary…
Job Summary
We are seeking a highly skilled Senior Software Developer to design, develop, and maintain scalable software solutions. The ideal candidate will play a key role in technical decision-making, mentor junior developers, and collaborate closely with cross-functional teams to deliver high-quality products.
Key Responsibilities
- Design and develop advanced AI workflows using Python
- Build and maintain scalable embedding pipelines for structured and unstructured data
- Implement semantic search solutions using vector databases
- Develop AI-driven summarization, analytics, and insight generation over structured datasets
- Design and implement Agentic AI systems (multi-step reasoning, tool usage, autonomous workflows)
- Integrate and optimize Large Language Models (LLMs) for real-world applications
- Ensure production-readiness: performance optimization, monitoring, evaluation, and cost control
- Collaborate with data engineers and product teams to deliver end-to-end AI solutions
Required Skills & Qualifications
- 4+ years of strong Python development experience (production-grade systems)
- Hands-on experience with:
- o LLM integration (e.g., OpenAI APIs, Anthropic, open-source LLMs)
- o Embedding models and vector search pipelines
- Strong knowledge of data processing frameworks (Pandas, NumPy, etc.)
- Experience building AI-driven summarization and insight extraction systems
- Experience with Agentic AI architectures (multi-agent systems, tool calling, workflow automation)
- Solid understanding of evaluation, prompt engineering, and model optimization
AI Data Engineer
- FullTime
- EXP : 5-8 Years
- Pune/Nagpur , India
Job Summary…
Job Summary
We are hiring an AI Data Engineer with 5–8 years of experience in Azure Data Engineering. The ideal candidate should have hands-on expertise in Azure Data Factory, Azure Databricks, ADLS Gen2, Python, SQL, PySpark, and ETL/ELT pipelines, with exposure to Azure Synapse/Microsoft Fabric and AI/GenAI technologies such as Azure OpenAI. Â
Key Responsibilities
Core Data Engineering Skills
- Good hands-on experience with Python for data processing, automation scripts, API integration, basic logging, and reusable data engineering components.
- Strong SQL and T-SQL skills, including joins, CTEs, stored procedures, window functions, query tuning, and analytical data preparation.
- Working experience with PySpark or Spark for data transformation, large dataset handling, partitioning, and performance optimization.
- Experience designing and implementing batch and incremental ETL/ELT pipelines for structured, semi structured, and unstructured data.
- Data ingestion experience from relational databases, files, REST APIs, SaaS platforms, event sources, and enterprise applications.
- Good understanding of data modeling, data warehousing, lakehouse concepts, dimensional modeling, star schema, and medallion architecture.
- Practical exposure to Parquet, Delta Lake, data quality checks, schema handling, validation, and reconciliation activities.
- Ability to troubleshoot production data issues, optimize pipelines, resolve failures, and support business critical data workloads.
Microsoft Azure Data Platform Skills
- Hands-on experience with key Microsoft Azure data services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL Database, and Azure Synapse Analytics.
- Experience building orchestration pipelines using Azure Data Factory or Synapse Pipelines, including linked services, datasets, triggers, parameters, integration runtime, and monitoring.
- Practical experience with Azure Databricks notebooks, jobs, clusters, and Spark-based transformation workloads.
- Exposure to Azure Synapse or Microsoft Fabric for lakehouse, warehouse, SQL analytics, notebooks, or curated datasets is preferred.
- Basic understanding of Microsoft Fabric components such as OneLake, Lakehouse, Warehouse, Data Factory pipelines, notebooks, and semantic models is an added advantage.
- Experience with Power BI data enablement, including curated data models, refresh-ready datasets, performance-oriented tables, and business reporting integration.
AI, GenAI and Machine Learning Exposure
- Practical exposure to integrating AI or GenAI capabilities into data solutions using Azure AI Services, Azure OpenAI Service, or similar API-based services.
- Understanding of common AI-enabled use cases such as document processing, summarization, classification, intelligent search, chatbots, and workflow automation.
- Basic working knowledge of prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and grounding AI outputs on enterprise data.
- Exposure to Azure AI Search, Document Intelligence, OpenAI model APIs, model endpoints, token usage, and API-based AI integration is preferred.
- Basic understanding of ML lifecycle concepts such as feature engineering, model usage, deployment support, monitoring, versioning, and responsible AI practices.
- Exposure to Python AI/ML libraries or frameworks such as pandas, scikit-learn, MLflow, LangChain, Semantic Kernel, or equivalent tools is good to have.
DevOps, Security and Governance Awareness
- Working knowledge of Git, Azure DevOps, branching, pull requests, code reviews, CI/CD basics, and deployment support for data engineering components.
- Awareness of environment management across development, test, staging, and production environments.
- Understanding of Azure security concepts including Key Vault, managed identities, RBAC, private endpoints, network security, secrets management, and secure data access.
- Awareness of data governance, lineage, cataloging, access controls, auditability, privacy, and compliance practices using Microsoft Purview or equivalent tools.
- Familiarity with monitoring and observability using Azure Monitor, Log Analytics, pipeline alerts, job monitoring, and operational dashboards
Required Skills & Qualifications
- 5–8 years of overall data engineering experience, with hands-on delivery experience on Microsoft Azure data platforms.
- Minimum 2–4 years of practical experience with Azure Data Factory, Azure Databricks, ADLS Gen2, SQL, Python, and PySpark.
- Exposure to at least 1–2 AI, GenAI, ML, automation, or intelligent data use cases is preferred; production experience is an advantage but not mandatory.
Good to have
- Exposure to Kafka, Azure Event Hubs, Azure Stream Analytics, Databricks Structured Streaming, or other real-time data processing technologies.
- Exposure to Microsoft Fabric migration, Synapse-to-Fabric transition, lakehouse modernization, or Power BI semantic model optimization.
- Basic exposure to Azure Functions, Logic Apps, API Management, containers, or serverless data workflows.
- Relevant Microsoft certifications such as Azure Data Engineer Associate, Fabric Analytics Engineer Associate, or Azure AI Engineer Associate are preferred but not mandatory.
Lead Talend Developer
- FullTime
- EXP : 8+ Years
- Pune/Nagpur, India (WFO)
Job Summary…
Job Summary
We are looking for an experienced Talend Lead to drive end-to-end data integration and ETL delivery
across complex enterprise environments. The role involves designing and developing scalable data
pipelines, ensuring strong data governance practices, managing deployments, and supporting
production stability. The ideal candidate will have deep expertise in Talend Data Integration, SQL, data
pipeline development, and ETL architecture, along with hands-on experience supporting testing
cycles, production deployments, and post-go-live stabilization.
Key Responsibilities
ETL Development & Data Integration
- Design, develop, and implement end-to-end Talend ETL/ELT pipelines for enterprise data integration initiatives.
- Perform data mapping, schema validation, and transformation logic implementation across multiple data sources.
- Build scalable pipelines ensuring performance, reliability, and maintainability.
- Implement data quality checks, validation rules, and governance standards across pipelines.
Data Governance & Compliance
- Enforce data quality frameworks and validation rules to maintain high data integrity.
- Implement PII masking and compliance controls aligned with financial and regulatory standards.
- Ensure consistent data lineage, schema standards, and governance practices.
CI/CD & Environment ManagementÂ
- Manage ETL deployments using Talend Administration Center (TAC).
- Implement CI/CD pipelines for automated build, deployment, and release management.
- Maintain version control and ensure environment consistency across Development, SIT, UAT, and Production.
Testing & Validation
- Conduct Unit Testing (UT) for Talend components and transfer
- Support System Integration Testing (SIT) ensuring seamless data flow across financial systems.
- Work closely with business stakeholders during User Acceptance Testing (UAT) to resolve data issues and defects.
- Manage test data provisioning and environment refresh cycles to replicate production scenarios.
Deployment & Release Management
- Execute production releases through formal IT Change Management processes including Change Requests and CAB approvals.
- Lead cutover planning and production deployments, ensuring minimal disruption.
- Maintain documented rollback and back-out strategies for all production releases.
Post-Production Support & Optimization
- Provide hypercare support for 4–6 weeks post go-live to address critical production issues.
- Perform Root Cause Analysis (RCA) for high-severity incidents and implement preventive fixes.
- Monitor and optimize ETL job performance based on production data volumes.
- Deliver runbooks, operational documentation, and knowledge transfer to BAU support teams.
Required Skills & Qualifications
- 8+ years of experience in Data Integration / ETL Development.
- Strong hands-on experience with Talend Data Integration and ETL pipeline development.
- Excellent SQL and database performance optimization skills.
- Experience with Talend Administration Center (TAC) and deployment automation.
- Strong understanding of data governance, data quality frameworks, and PII masking.
- Experience supporting SIT, UAT, and production deployments in enterprise environments.
- Knowledge of CI/CD practices and version control systems.
- Ability to troubleshoot complex data issues and perform Root Cause Analysis.
Good to Have
- Experience working with financial or regulatory data environments.
- Exposure to cloud data platforms or modern data engineering ecosystems
Data Modeler/Data Designer
- FullTime
- EXP : 8+ Years
- Pune/Nagpur , India (WFO)
Job Summary…
Job Summary
We are seeking an experienced Senior Data Modeler / Data Designer to lead the design, development, and governance of enterprise data models with a strong focus on risk data domains. The role holder will translate complex business and regulatory requirements into robust conceptual, logical, and physical data models, and will build analytical solutions using SQL Server Analysis Services (SSAS) and Power BI to support risk management, regulatory reporting, and executive decision-making.Â
Key Responsibilities
Data Modeling & Design
- Design and maintain conceptual, logical, and physical data models across enterprise data warehouse, data marts, and analytical platforms.
- Develop and enhance dimensional models (star/snowflake schemas) and normalized models to support risk, finance, and regulatory reporting requirements.
- Define and enforce data modeling standards, naming conventions, and metadata documentation across the bank.
- Perform data profiling, source-to-target mapping, and gap analysis for new and existing data domains. - Collaborate with data architects, ETL developers, and business analysts to ensure models are accurately implemented and performant.
Risk Data Management
- Design and manage data models covering credit risk, market risk, operational risk, and liquidity risk domains. - Support regulatory and compliance reporting requirements (e.g., Basel III/IV, IFRS 9, BCBS 239, Central Bank of UAE reporting) through fit-for-purpose data structures.
- Work closely with Risk Management and Finance stakeholders to ensure data lineage, quality, and completeness of risk data aggregation.
- Contribute to data governance initiatives, including data dictionaries, business glossaries, and data quality rules for risk data.
Analytics & BI Development (SSAS & Power BI)
- Design, build, and optimize SSAS cubes (Multidimensional and/or Tabular models), including DAX/MDX measures, partitions, and security roles.
- Develop and maintain Power BI dashboards, datasets, and reports for risk, business, and executive stakeholders.
- Implement row-level security, incremental refresh, and performance tuning best practices across SSAS and Power BI solutions.
- Manage Power BI workspace governance, dataset certification, and deployment pipelines.
Stakeholder Engagement & Leadership
- Act as a subject matter expert on data modeling and BI, advising business and technology teams.
- Mentor junior data modelers, BI developers, and analysts.
- Participate in solution design reviews, architecture forums, and vendor evaluations.
- Communicate complex data concepts clearly to non-technical stakeholders, including senior management.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's degree preferred).
- 8+ years of experience in data modeling, data warehousing, and business intelligence, preferably within banking or financial services.
- Proven hands-on experience designing enterprise data models (conceptual, logical, physical) using tools such as ERwin, ER/Studio, PowerDesigner, or equivalent.
- Demonstrated experience working with risk data (credit, market, operational, or liquidity risk) and supporting risk/regulatory reporting.
- Strong hands-on expertise with SQL Server Analysis Services (SSAS) – Tabular and/or Multidimensional – including DAX and/or MDX.
- Advanced SQL skills and solid understanding of the Microsoft data stack (SQL Server, SSIS, SSRS).
- Solid understanding of data warehousing methodologies and data governance principles
Key Competencies
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Ability to manage multiple priorities and deliver under tight regulatory timelines.
- Excellent communication and stakeholder management skills.
- Collaborative mindset with a proactive, ownership-driven approach.
Project Manager (Techno-Functional)
- FullTime
- EXP : 8+ Years
- Pune/Nagpur , India (WFO)
Job Summary…
Job Summary
We are looking for a proactive and detail-oriented Project Manager (Techno-Functional) to lead the planning, coordination, and execution of technology projects. The ideal candidate should have a strong understanding of project management processes, excellent stakeholder communication skills, and the ability to bridge between business and IT. This role is best suited for someone who has worked on IT projects and can effectively manage project activities while aligning business requirements with technical delivery. Â
Key Responsibilities
- Lead planning, coordination, and tracking of project activities from initiation to closure.
- Act as a bridge between business and IT to ensure clear understanding of requirements, priorities, and deliverables.
- Coordinate with business stakeholders, technical teams, vendors, and clients to ensure smooth project execution.
- Gather, document, and clarify business requirements with stakeholders.
- Monitor project timelines, milestones, risks, dependencies, and deliverables.
- Schedule and facilitate project meetings, prepare meeting minutes, and track action items.
- Support resource planning, task allocation, and progress tracking across teams.
- Maintain project documentation, status reports, RAID logs, and project trackers.
- Ensure timely communication of project updates to stakeholders.
- Follow up with teams to ensure deliverables are completed within agreed timelines.
- Oversee User Acceptance Testing (UAT) coordination and deployment activities.
- Identify potential project risks and escalate issues proactively.
- Ensure adherence to project governance, quality standards, and organizational processes.
Required Skills & Experience
- Strong understanding of Software Development Life Cycle (SDLC) and Agile/Scrum methodologies.
- Excellent communication and stakeholder management skills.
- Strong organizational, coordination, and multitasking abilities.
- Experience in requirement gathering and documentation.
- Ability to work effectively with cross-functional business and technical teams.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel, Word, PowerPoint, and Project (preferred).
- Experience with project management tools such as Jira, Azure DevOps, Trello, or similar is an advantage.
Preferred qualification
- Bachelor's degree in Engineering, Computer Science, Information Technology, Business Administration, or a related field.
- 8–10 years of experience in Project Coordination, Business Analysis, PMO, or Project Management.
- Certification in Scrum, Agile, or PMP/CAPM (preferred but not mandatory).
Good to Have
- Strong ownership and accountability.
- Excellent interpersonal and client-facing communication skills.
- Ability to manage multiple priorities in a fast-paced environment.
- Quick learner with a collaborative mindset.
- Detail-oriented with strong documentation skills
EDW Data Modeler (Banking Domain)
- FullTime
- EXP : 10+ Years
- Dubai, UAE (On-site)
Job Summary…
Job Summary
We are looking for an experienced EDW (Enterprise Data Warehouse) Data Modeler with strong expertise in designing and maintaining enterprise-scale data models for banking data warehouses. The ideal candidate will have hands-on experience in enterprise data modeling, data warehousing, SQL, and Power BI, along with a strong understanding of banking data domains and regulatory reporting.
Key Responsibilities
Enterprise Data ModelingÂ
- Design and maintain Conceptual, Logical, and Physical Data Models for Enterprise Data Warehouses.
- Develop dimensional models using Star and Snowflake schemas.
- Design enterprise data models for Data Warehouses, Data Marts, and analytical platforms.
- Perform source-to-target mapping, data profiling, and gap analysis.
- Define and maintain enterprise data modeling standards, naming conventions, and metadata documentation.
Banking Data Warehouse
- Design and manage data models for banking domains including:
- Customer
- Accounts
- Loans
- Deposits
- Payments
- Cards
- Treasury
- Risk
- Finance
- Support regulatory reporting and enterprise analytics through optimized data models.
- Ensure data quality, consistency, lineage, and governance across the Enterprise Data Warehouse.
Analytics & Reporting
- Develop and optimize data models to support Power BI reporting and analytics.
- Write and optimize complex SQL queries for data extraction, validation, and performance tuning.
- Support reporting, dashboards, and business intelligence initiatives with scalable data models.
- Collaborate with ETL/Data Engineering teams to ensure accurate implementation of data models.
Performance & Governance
- Optimize data models for reporting and analytical performance.
- Maintain metadata repositories, business glossaries, and data dictionaries.
- Ensure compliance with enterprise data governance and data quality standards.
Required Skills & Experience
- 10+ years of experience in Enterprise Data Warehousing and Data Modeling.
- Strong expertise in:
- Enterprise Data Modeling
- Conceptual, Logical & Physical Data Modeling
- Star Schema & Snowflake Schema
- Data Warehouse Design
- Data Marts
- Advanced SQL skills with experience writing complex queries and performance tuning.
- Hands-on experience with Power BI datasets, reporting, and analytical solutions.
- Experience with Data Modeling tools such as:
- ERwin
- ER/Studio
- PowerDesigner
- Oracle SQL Developer Data Modeler
- Strong understanding of ETL/ELT concepts and Data Warehousing methodologies.
- Experience in Data Governance, Metadata Management, and Data Lineage.
Banking Domain Experience (Mandatory)
Candidates must have hands-on Banking domain experience with exposure to one or more of the following:
- Core Banking
- Retail Banking
- Corporate Banking
- Risk Management
- Regulatory Reporting
- Basel III / Basel IV
- IFRS 9
- Treasury
- Customer 360
- AML
- Enterprise Banking Data Warehouse implementations
Preferred Skills
Candidates must have hands-on Banking domain experience with exposure to one or more of the following:
- Azure Databricks
- Azure Data Factory
- SSAS / Tabular Models / Semantic Models
- Banking Analytics & Regulatory Reporting
- Data Vault Modeling
Delivery Manager – Data & BI Projects
- FullTime
- EXP : 12+ Years
- Dubai (Onsite, Client Office)
Job Summary…
Job Summary
We are looking for an experienced Delivery Manager to lead the successful delivery and governance of enterprise Data & Business Intelligence (BI) projects. The ideal candidate will be responsible for end-to-end project governance, delivery oversight, stakeholder management, and executive reporting while ensuring alignment between business objectives and technology execution.
This role requires a strong leader with experience managing complex data transformation initiatives, driving cross-functional collaboration, and working closely with senior business and IT stakeholders.
Key Responsibilities
- Lead the end-to-end delivery and governance of Data & BI programs and projects.
- Drive project planning, execution, tracking, risk management, and successful delivery within agreed timelines and budgets.
- Coordinate closely with Data Engineering, BI, Infrastructure, and Business teams to ensure seamless execution.
- Own project governance, status reporting, RAID management, and decision tracking across multiple initiatives.
- Prepare and present executive-level reports and dashboards to the IT Head and senior leadership.
- Actively participate in Steering Committee (SteerCo) meetings by presenting project updates, key risks, dependencies, and mitigation plans.
- Build and maintain strong relationships with business stakeholders, technology teams, vendors, and leadership.
- Ensure effective stakeholder communication and timely escalation of project issues and blockers.
- Drive continuous improvement in project delivery methodologies, governance processes, and operational efficiency.
- Leverage AI-powered tools to accelerate project delivery, automate reporting, improve productivity, and enhance decision-making.
- Ensure adherence to organizational delivery standards, governance frameworks, and compliance requirements.
Required Skills & Experience
- 10+ years of experience in IT Delivery or Program Management, with significant experience managing Data & BI projects.
- Proven experience delivering enterprise Data Warehouse, Business Intelligence, Data Engineering, Analytics, or Data Platform initiatives.
- Strong project governance, PMO, and stakeholder management capabilities.
- Experience presenting project updates to senior leadership and Steering Committees.
- Excellent decision-making, risk management, and problem-solving skills.
- Strong communication and executive presentation skills.
Technical Exposure
Working knowledge of the following technologies is preferred:Â
- Oracle Database
- Cloudera
- MySQL
- SQL Server Reporting Services (SSRS)
- Power BI
- Enterprise Data Warehousing
- Data Integration & ETL Ecosystem
Preferred Qualifications
- Experience in the Banking or Financial Services domain is highly preferred.
- Familiarity with Agile, Waterfall, and Hybrid delivery methodologies.
- PMP, PRINCE2, Scrum Master, or equivalent project management certifications are an added advantage.
- Demonstrated experience leveraging AI tools (such as Microsoft Copilot, ChatGPT, GitHub Copilot, or similar) to improve delivery efficiency, reporting, documentation, and project execution.
Key CompetenciesÂ
- Delivery Leadership
- Project Governance
- Stakeholder Management
- Executive Reporting
- Program & Portfolio Management
- Risk & Issue Management
- Data & BI Delivery
- Strategic Planning
- Decision Making
- Team Leadership
- AI-driven Productivity
- Client & Business Relationship Management
Technical Project Manager
- FullTime
- EXP : 10-15 Years
- Pune/Nagpur , India
Job Summary…
Job Summary
We are looking for an experienced Technical Project Manager to lead and deliver complex data integration and enterprise data management initiatives. The ideal candidate will have extensive experience managing multiple Informatica implementation projects, driving delivery governance, leading cross-functional teams, and ensuring successful project execution. Experience in cloud data integration and enterprise data management environments is highly preferred.Â
Key Responsibilities
- Lead and manage multiple Informatica implementation projects, ensuring delivery within scope, timeline, and budget.
- Plan, execute, monitor, and control projects in alignment with organizational objectives and project management best practices.
- Drive delivery governance, identify project risks, and ensure timely issue resolution.
- Lead cross-functional teams comprising data architects, developers, QA teams, and business stakeholders.
- Establish and maintain effective communication with internal and external stakeholders through regular status updates and governance meetings.
- Ensure adherence to quality standards, data governance policies, and implementation best practices.
- Support cloud data integration and enterprise data management initiatives.
- Develop and implement risk mitigation strategies to ensure successful project outcomes.
- Track project progress, dependencies, and resource utilization to achieve delivery excellence.
Skills Requirements & Experience
- 10–15 years of experience in Technical Project Management, with a strong focus on data integration and enterprise data management.
- Proven experience managing multiple Informatica implementation projects.
- Strong understanding of project management methodologies, delivery governance, risk management, and issue resolution.
- Demonstrated leadership experience managing cross-functional technical and business teams.
- Excellent stakeholder management, communication, and presentation skills.
- Experience with cloud data integration or enterprise data management projects.
- Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
Good-to-Have SkillsÂ
- PMP, PMI-ACP, or equivalent project management certification.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Experience working in Agile/Scrum environments.
- Understanding of data governance, compliance frameworks, and enterprise data strategies.
- Exposure to modern data integration and cloud-based data management solutions.
Client Partner – Data & AI
- FullTime
- EXP : 10+ Years
- Dubai, UAE
Job Summary…
Job Summary
We are looking for a Client Partner who can drive growth across Middle East enterprise accounts, build strong relationships, and lead high-impact conversations around Data & AI solutions.
This role goes beyond traditional sales. It requires someone who can quickly understand technologies, connect them to business outcomes, and confidently present solution approaches to senior stakeholders.
Key Responsibilities
- Own and grow strategic accounts across the Middle East (GCC region)
- Leverage existing network and relationships in Dubai / UAE market to drive new business
- Identify, pursue, and close new opportunities in Data, AI, and Analytics
- Build and maintain strong relationships with CXO-level stakeholders
- Translate technology capabilities into business value conversations
- Collaborate with delivery and AI teams to shape winning solution narratives
- Drive revenue growth, account expansion, and long-term partnerships
What We’re Looking For
- Strong experience working with Middle East enterprise clients (UAE/GCC)
- Proven network and connections within Dubai market
- Demonstrated success in selling Data, AI, Analytics, or Digital solutions
- Ability to quickly grasp new technologies and build a strong point of view
- Someone who can understand solutions and confidently explain them in a clear, business-friendly way
- Proven ability to hunt + grow accounts
- Strong presence and experience engaging with C-level stakeholders
- Track record of closing complex, high-value deals
Databricks Engineer
- FullTime
- EXP : 8+ Years
- Pune / Nagpur , India
Job Summary…
Job Summary
We are seeking an experienced Data Engineer with strong hands-on expertise in Databricks on any cloud platform (AWS, Azure, or GCP), along with proven skills in SQL, Python, and PySpark. The ideal candidate will have a solid background in database design, data processing, and building scalable data pipelines in a cloud-based environment.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and PySpark
- Work with structured and semi-structured data across various cloud platforms (AWS, Azure, or GCP)
- Write optimized and complex SQL queries for data extraction and transformation
- Implement data ingestion from various sources into the data lake/warehouse
- Collaborate with data analysts, business stakeholders, and other engineering teams to understand requirements and deliver solutions
- Monitor and improve the performance of existing data pipelines
- Ensure data quality, security, and governance across the data lifecycle
Required Skills & Qualifications:
- 5–7 years of professional experience in Data Engineering or related roles
- Strong experience with Databricks on any cloud platform (AWS, Azure, or GCP)
- Proficiency in SQL, Python, and PySpark
- Solid understanding of database structures, data modeling, and data warehousing concepts
- Experience with cloud data services and storage solutions
- Familiarity with CI/CD practices and version control tools like Git
- Excellent problem-solving and communication skills
Good to Have
- Exposure to Delta Lake, Lakehouse architecture, or MLflow
- Knowledge of Apache Airflow or other workflow orchestration tools
- Experience in performance tuning and job optimization in Spark environments
Databricks ArchitectÂ
- FullTime
- EXP : 10+ Years
- Pune, India
Job Summary…
Job Summary
We are seeking an experienced Databricks Architect to lead the design, development, and implementation of modern data platforms using Databricks Lakehouse architecture. The ideal candidate will have strong expertise in cloud-based data engineering, big data technologies, and enterprise data modernization initiatives.Â
Key Responsibilities
- Design and implement scalable, secure, and high-performance data solutions using Databricks.
- Architect end-to-end data platforms leveraging Lakehouse architecture, Delta Lake, and Apache Spark.
- Lead data migration and modernization projects from legacy platforms to Databricks.
- Define data governance, security, metadata management, and data quality frameworks.
- Design and optimize batch and real-time data processing pipelines.
- Collaborate with business stakeholders, data engineers, analysts, and architects to translate business requirements into technical solutions.
- Establish best practices for data modeling, performance tuning, cost optimization, and platform scalability.
- Drive adoption of CI/CD, DevOps, Infrastructure as Code (IaC), and automation practices.
- Mentor engineering teams and provide technical leadership throughout project delivery.
- Support solution estimation, architecture reviews, and client discussions.
Required Skills &Experience:
- 10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
- 4+ years of hands-on experience with Databricks.
Strong expertise in:
- Databricks Lakehouse Platform
- Apache Spark (PySpark/Scala)
- Delta Lake
- Spark SQL
- Data Modeling
- ETL/ELT Design Patterns
Experience with cloud platforms such as:
- Microsoft Azure (preferred)
- Strong knowledge of data warehousing concepts and modern data architectures.
- Experience designing and implementing large-scale data migration programs.
- Hands-on experience with orchestration tools such as Airflow, Azure Data Factory
- Experience with Git, CI/CD pipelines, and DevOps practices.
- Strong understanding of data security, governance, and compliance frameworks.
Preferred Qualifications
- Databricks Certified Data Engineer Professional or equivalent certification.
- Cloud certifications in Azure, AWS, or GCP.
- Experience with Unity Catalog, MLflow, and Databricks Workflows.
- Exposure to streaming technologies such as Kafka, Event Hubs, or Kinesis.
- Experience in customer-facing consulting or architecture roles.
Azure Fabric Data ArchitectÂ
- FullTime
- EXP : 10+ Years
- Pune, India
Job Summary…
Job Summary
We are looking for an experienced Data Architect/ Architectutre to lead the design, implementation, and governance of enterprise-scale data platforms using Microsoft Fabric and Azure Data Services. The ideal candidate should possess strong expertise in modern data architecture, cloud data engineering, analytics, and team leadership. This role requires the ability to drive technical solutions, mentor teams, engage with stakeholders, and deliver scalable data platforms that support business objectives. Â
Key Responsibilities
- Architect and implement end-to-end data solutions using Microsoft Fabric and Azure technologies.
- Design scalable Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics solutions.
- Lead data modernization and migration initiatives from legacy platforms to Azure Fabric.
- Define enterprise data architecture, data models, integration patterns, and governance frameworks.
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
- Drive best practices for data security, data quality, compliance, and performance optimization.
- Lead and mentor a team of Data Engineers, BI Developers, and Technical Leads.
- Conduct architecture reviews, code reviews, and technical design discussions.
- Provide effort estimation, solution proposals, and technical guidance during project delivery.
- Work closely with delivery managers and client stakeholders to ensure successful project execution.
- Manage project risks, escalations, and ensure adherence to delivery timelines.
Required Skills & Qualifications:
- 10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Analytics.
- Hands-on experience with Microsoft Fabric.
- Strong expertise in:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure Synapse Analytics
- Power BI
- SQL and Data Modeling
- ETL/ELT Design and Development
- Experience designing enterprise-scale cloud data platforms.
- Strong understanding of Lakehouse Architecture and modern data ecosystems.
- Experience with performance tuning, optimization, and data governance frameworks.
- Excellent stakeholder management and communication skills.
- Proven experience managing and mentoring technical teams.
Preferred Skills
- Experience with Databricks, Spark, and Python.
- Exposure to AI/ML and advanced analytics solutions.
- Experience in Agile delivery methodologies.
- Microsoft Azure and Microsoft Fabric certifications.
- Experience working with global clients and distributed teams.
Leadership Expectations
- Lead and manage a team of data professionals.
- Drive technical excellence and delivery quality.
- Mentor team members and support their career development.
- Participate in hiring, onboarding, and team-building activities.
- Act as the technical escalation point for critical issues.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Power BI Developer
- FullTime
- EXP: 8+ Years
- Pune / Nagpur , India
Job Summary…
Job Summary
We are looking for a skilled and business-oriented Power BI Developer with 8+ years of experience in dashboard development, data visualization, and business reporting. The ideal candidate should be capable of working with large and complex enterprise datasets, designing intuitive dashboards, and translating business requirements into impactful reporting solutions.
This role requires close collaboration with business stakeholders to generate actionable insights from commercial and marketing data while enabling data-driven decision-making.
Key Responsibilities
- Design, develop, and maintain interactive dashboards and reports using Power BI
- Work with large and complex datasets from multiple enterprise data sources
- Gather business requirements from stakeholders and translate them into scalable reporting solutions
- Create visually intuitive dashboards that provide actionable business insights
- Develop KPI tracking frameworks, trend analysis reports, and performance dashboards
- Optimize data models, report performance, and dashboard usability
- Collaborate with cross-functional teams including business, analytics, and data engineering teams
- Ensure data accuracy, consistency, and governance across reporting solutions
- Support ad-hoc reporting and analytical requests from business users
Required Skills & Qualifications:
- 8+ years of hands-on experience in Power BI dashboard/report development and data visualization
- Strong expertise in Power BI, DAX, Power Query, and data modeling
- Experience working with large and complex datasets across enterprise systems
- Strong understanding of KPIs, business performance reporting, and trend analysis
- Ability to derive meaningful business insights from commercial and marketing data
- Strong stakeholder management and requirement gathering skills
- Excellent analytical, problem-solving, and communication skills
- Bachelor’s degree in Engineering, Computer Science, Statistics, Data Analytics, or related field
- Relevant certifications in Power BI or Data Analytics will be an added advantage
Good to Have
- Experience with Snowflake, SQL, or cloud-based data platforms
- Prior experience working with Pharma/Life Sciences clients
- Exposure to omnichannel analytics or customer engagement analytics use cases
- Understanding of commercial analytics and marketing performance measurement
Senior Power Apps / Power Automate Developer
- FullTime
- EXP: 6-8 Years
- Pune / Nagpur , India
Job Summary…
Job Summary
We are looking for an experienced Senior Power Apps / Power Automate Developer to design, develop, and maintain enterprise-grade business applications using the Microsoft Power Platform. The ideal candidate should have strong expertise in Power Apps, Power Automate, Microsoft Dataverse, and SharePoint Online, with experience delivering scalable, secure, and integrated business solutions. The role requires close collaboration with business stakeholders, architects, and technical teams throughout the project lifecycle.Â
Key Responsibilities
- Design, develop, and maintain enterprise applications using Microsoft Power Platform.
- Build and customize Power Apps Canvas Apps and Model-Driven Apps based on business requirements.
- Develop, automate, and optimize business workflows using Power Automate Cloud Flows.
- Design and implement scalable data models using Microsoft Dataverse.
- Integrate Power Platform solutions with Microsoft 365, SharePoint Online, Dynamics 365, Azure Services, and third-party applications.
- Configure and manage security roles, governance, and environment management within the Power Platform.
- Perform application troubleshooting, performance tuning, bug fixing, and production support.
- Participate in solution architecture discussions, code reviews, testing, deployment, and release management.
- Collaborate with business stakeholders, functional consultants, and cross-functional technical teams to deliver high-quality solutions.
Required Skills & Qualifications:
- 6–8 years of experience in Microsoft Power Platform development.
- Strong hands-on experience with:
- Power Apps (Canvas Apps and Model-Driven Apps)
- Power Automate (Cloud Flows)
- Microsoft Dataverse
- SharePoint Online
- Good understanding of Power Platform administration, governance, and environment management.
- Experience integrating Power Platform solutions with Microsoft 365, Dynamics 365, Azure services, and external applications.
- Knowledge of application troubleshooting, performance optimization, and production support.
- Experience participating in the complete Software Development Life Cycle (SDLC), including design, development, testing, deployment, and maintenance.
Good-to-Have Skills
- Experience with Application Lifecycle Management (ALM) for Power Platform.
- Knowledge of Git, Azure DevOps, and CI/CD pipelines.
- Familiarity with solution packaging and deployment strategies.
- Experience working in Agile/Scrum development environments.
- Microsoft Power Platform certifications are an added advantage.
Snowflake Data Engineer
- FullTime
- EXP: 8+ Years
- Pune / Nagpur , India
Job Summary…
Job Summary
We are seeking a skilled and experienced Snowflake Data Engineer to join our team. The ideal candidate will be responsible for building and maintaining data pipelines, data models, and solutions on the Snowflake Data Cloud platform. You will collaborate with cross-functional teams to ensure data is properly collected, stored, and made accessible to drive business insights and decisions.Â
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes using Snowflake and other cloud technologies.
- Work with large datasets, ensuring their availability, quality, and performance across systems.
- Implement data models, optimize storage, and query performance on Snowflake.
- Write complex SQL queries for data extraction, transformation, and reporting purposes.
- Develop, test, and implement data solutions leveraging Python scripting and Snowflake’s native features.
- Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.
- Monitor and troubleshoot data pipelines to ensure smooth operation and efficiency.
- Perform data migration, integration, and processing tasks across cloud platforms.
- Stay updated with the latest developments in Snowflake, SQL, and cloud technologies.
Required Skills & Qualifications:
- Snowflake: Expertise in building, optimizing, and managing data warehousing solutions on Snowflake.
- SQL: Strong knowledge of SQL for querying and managing relational databases, writing complex queries, stored procedures, and performance tuning.
- Python: Proficiency in Python for scripting, automation, and integration within data pipelines.
- Experience in developing and managing ETL processes, and ensuring data accuracy and performance.
- Hands-on experience with data migration and integration processes across cloud platforms.
- Familiarity with data security and governance best practices.
- Strong problem-solving skills with the ability to troubleshoot and resolve data-related issues.
Snowflake Architect
- FullTime
- EXP: 10+ Years
- Pune/ Nagpur , India
Job Summary…
Key Responsibilities
- Design and architect scalable, secure, and high-performance data solutions using Snowflake
- Lead end-to-end Snowflake implementations including data modeling, performance optimization, and cost optimization
- Drive data migration and modernization initiatives from legacy/on-prem data warehouses to Snowflake
- Define data architecture standards, integration patterns, and best practices
- Collaborate with stakeholders, data engineers, and business teams to translate business requirements into technical solutions
- Ensure security, governance, and compliance standards are implemented and maintained
- Design and implement ETL/ELT pipelines and data integration solutions
- Mentor team members and provide architectural and technical guidance
- Support pre-sales activities including solution design, estimations, and client discussions
- Stay updated with evolving Snowflake features, cloud technologies, and industry trends
Required Skills
- 10+ years of experience in Data Warehousing, Data Engineering, or Analytics
- Strong hands-on experience with Snowflake architecture and implementation
- Experience in data migration projects to Snowflake
- Strong experience with SQL, data modeling, and performance tuning
- Experience with ETL/ELT tools such as Informatica, Matillion, Talend, or similar
- Experience working with Cloud Platforms (AWS/Azure/GCP)
- Strong understanding of data governance, security, and compliance frameworks
- Excellent communication, stakeholder management, and leadership skills
Domain Experience
- Experience working with Insurance industry data models and business processes is good to have (Not mandatory)
Good to Have
- Snowflake Certification
- Experience with Python, Spark, or Databricks
- Knowledge of DevOps and CI/CD pipelines for data platforms
- Experience working with BI tools such as Power BI or Tableau
Senior Informatica Developer
- FullTime
- Exp: 6+ Years
- Pune/Nagpur , India
Job Summary…
Job Summary
We are seeking experienced Senior Informatica Developers to design, develop, and support enterprise data integration solutions using Informatica PowerCenter and Informatica Intelligent Data Management Cloud (IDMC). The ideal candidate will have strong expertise in ETL development, cloud data integration, performance optimization, and troubleshooting, with the ability to deliver scalable and high-quality data integration solutions in a collaborative environment.Â
Key Responsibilities
- Design, develop, and maintain ETL workflows using Informatica PowerCenter and Informatica IDMC.
- Build and support cloud-based data integration solutions using multiple Informatica IDMC services.
- Develop reusable mappings, workflows, task flows, and integration processes based on business requirements.
- Perform data extraction, transformation, and loading (ETL/ELT) across multiple source and target systems.
- Optimize ETL jobs and data integration processes for performance, scalability, and reliability.
- Troubleshoot production issues, perform root cause analysis, and provide timely resolutions.
- Participate in unit testing, system testing, deployment, and post-production support.
- Collaborate with business analysts, architects, database administrators, and cross-functional teams to deliver high-quality data solutions.
- Ensure adherence to coding standards, best practices, and documentation requirements. NICE SOFTWARE SOLUTIONS
Requirements
- 6+ years of experience in Informatica development.
- Strong hands-on experience with Informatica PowerCenter.
- Hands-on experience with multiple Informatica Intelligent Data Management Cloud (IDMC) services.
- Strong expertise in ETL design, development, testing, and deployment.
- Experience in cloud data integration and data migration projects.
- Strong troubleshooting, debugging, and performance tuning skills for ETL processes.
- Good understanding of relational databases, SQL, and data warehousing concepts.
- Experience working throughout the Software Development Life Cycle (SDLC).
Good to Have Skils
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Knowledge of CI/CD, version control tools (Git, Azure DevOps), and deployment automation.
- Familiarity with data quality, metadata management, and data governance concepts.
- Experience working in Agile/Scrum development environments.
- Informatica PowerCenter and/or Informatica IDMC certifications are an added advantage.
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