Expertise Azure Cloud with Data Engineer (ETL, SSIS) || Pune

What You Will Do

• Design, develop, and maintain enterprise data integration solutions using Azure Data Factory (ADF), Snowflake, SQL Server, and SSIS.
• Build and support scalable ETL/ELT pipelines for data ingestion, transformation, validation, and data warehousing.
• Develop and optimize Snowflake databases, schemas, stored procedures, tasks, streams, and data-sharing solutions.
• Design and maintain Azure-based data solutions utilizing Azure Data Factory, Event Hub, Azure SQL, and related services.
• Develop and support operational, analytical, and executive reporting solutions using SSRS.
• Create and optimize complex SQL queries, stored procedures, views, and database objects to improve performance and scalability.
• Implement and support CI/CD pipelines using GitLab and Harness for automated deployment of data engineering solutions.
• Collaborate with business stakeholders and technical teams to understand data requirements and deliver scalable solutions.
• Monitor data pipelines, troubleshoot production issues, perform root cause analysis, and implement corrective actions.
• Ensure data quality, data governance, data security, and compliance with enterprise standards.
• Maintain technical documentation, data flow diagrams, deployment procedures, and operational runbooks using Confluence.
• Participate actively in Agile ceremonies including Sprint Planning, Backlog Grooming, Daily Standups, and Retrospectives.
• Work with global teams across multiple time zones to support business-critical applications and reporting platforms.
• What you will need to have: Minimum 6 to 10 years of experience in Data Engineering, Data Warehousing, and Reporting solutions.
• Education: BE/BTech/MCA/MTech/BSc – Computer Science, Information Technology, or related field.
• Strong hands-on experience in Azure Data Factory (ADF), Azure SQL, Event Hub, and cloud-based data integration solutions.
• Extensive experience with Snowflake Data Warehouse including data modeling, performance optimization, stored procedures, tasks, streams, and data migration.
• Strong expertise in Microsoft SQL Server, database design, data modeling, query tuning, indexing strategies, and performance optimization.
• Hands-on experience with SSIS for ETL development and enterprise data integration solutions.
• Strong experience developing and supporting SSRS reports, dashboards, and data-driven reporting solutions.
• Experience implementing source-to-target mappings, data validation processes, and data quality frameworks.
• Experience working with Agile/Scrum methodologies and tools such as JIRA and Confluence.
• Strong understanding of data warehousing concepts, dimensional modeling, data governance, and data lifecycle management.
• Excellent analytical, troubleshooting, communication, and problem-solving skills.
• Experience working with globally distributed teams across India, US, APAC, and Europe.
• What would be great to have: (Optional – subjective preferred qualifications if applicable.) Experience with GitLab repositories, code promotion processes, and CI/CD implementations.
• Experience with Harness deployment pipelines and release management practices.
• Experience with .NET Core and Web API development for data integration and service-based architectures.
• Knowledge of Azure services such as AKS, Service Bus, Key Vault, App Configuration, and cloud-native application architectures.
• Experience developing and supporting Windows Services and backend processing components.
• Experience with Python for data engineering, automation, scripting, and analytics solutions.
• Experience with real-time event-driven architectures and streaming data solutions.
• Azure certifications such as Azure Data Engineer Associate (DP-203), Azure Administrator Associate (AZ-104), or Azure Solutions Architect Expert.
• Experience with FinTech, Banking, Payments, Deposits, Lending, or Financial Services domains.
• Exposure to AI/ML, Generative AI, and advanced analytics platforms.
• Understanding of Fiserv products and platforms would be an added advantage.
• Thank you for considering employment with Fiserv.
• Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
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• any other category protected by law.
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