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Fiserv
Expertise Azure Cloud with Data Engineer (ETL, SSIS) || Pune
Fiserv
Pune•On-site•6-9 Yrs•2 days ago
Job description
Overview
Calling all innovators – find your future at Fiserv.
Responsibilities
- 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.
- Minimum 6 to 10 years of experience in Data Engineering, Data Warehousing, and Reporting solutions.
Qualifications
- Strong understanding of data warehousing concepts, dimensional modeling, data governance, and data lifecycle management.
- Excellent analytical, troubleshooting, communication, and problem-solving skills.
- What would be great to have: (Optional – subjective preferred qualifications if applicable.)
- Knowledge of Azure services such as AKS, Service Bus, Key Vault, App Configuration, and cloud-native application architectures.
- Azure certifications such as Azure Data Engineer Associate (DP-203), Azure Administrator Associate (AZ-104), or Azure Solutions Architect Expert.
- Exposure to AI/ML, Generative AI, and advanced analytics platforms.
- Understanding of Fiserv products and platforms would be an added advantage.
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Education
- 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.