Job Description / Duties and Responsibilities ▪ Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Factory and related Azure services. ▪ Develop complex and optimized T-SQL queries, stored procedures, views, functions, and database objects in SQL Server. ▪ Perform SQL Server database development and administration activities, including performance tuning, troubleshooting, and data integrity management. ▪ Build and maintain data integration pipelines connecting multiple source and target systems. ▪ Work with Azure data platform services to develop and support cloud-based data solutions. ▪ Analyze source systems and changing data structures and adapt data pipelines accordingly. ▪ Apply light-to-medium data modeling techniques to support analytical and operational data requirements. ▪ Work with large volumes of structured and semi-structured data and ensure efficient data processing. ▪ Troubleshoot data pipeline failures, data quality issues, performance problems, and production incidents.



▪ Monitor data pipelines and proactively identify and resolve issues. ▪ Collaborate with developers, architects, QA teams, business analysts, and other stakeholders to deliver data solutions. ▪ Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog refinement, reviews, and retrospectives. ▪ Create and maintain technical documentation covering data flows, mappings, processes, dependencies, and troubleshooting procedures. ▪ Participate in code reviews and follow established development, security, and deployment standards. ▪ Support production deployments, releases, and operational activities as required. Job Specification / Skills and Competencies ▪ 7 years of experience in Data Engineering, ETL, data integration, or related roles. ▪ Robust hands-on experience with Microsoft SQL Server development and administration. ▪Advanced knowledge of T-SQL, including: o Complex queries o Stored procedures o Views and functions o Query optim

📌 Lead Data Engineer (India)
🏢 Experion Technologies
📍 India