Job Title

''Total Experience- 8-10 years Role Description Monitor and manage ETL jobs in a production environment to ensure they run on schedule and without failure. Troubleshoot and resolve issues related to data integration and ETL processes, including errors, performance bottlenecks, and data inconsistencies. Perform root cause analysis of ETL job failures, data discrepancies, and other production issues, and take corrective actions to prevent recurrence. Work with data engineers and developers to address complex production problems and implement solutions. Ensure that ETL jobs are completed successfully by monitoring system alerts and notifications and taking necessary actions to prevent downtime or errors. Respond to support tickets and production incidents related to ETL processes in a timely manner, ensuring minimal downtime or impact to business operations. Ensure that data quality is maintained by validating the data at each stage of the ETL pipeline (from source to target). Conduct data reconciliation and data validation to ensure data consistency and correctness between source and target systems. Work or assist on performance tuning to improve job efficiency and reduce processing time. Participate in post-incident reviews and contribute to continuous improvement efforts in the ETL production environment. Required Skill Set 5+ years of experience in ETL production support, data integration, or data engineering in a production environment. Experience with ETL tools - SAP BODS, Informatica Power Center, IICS is preferred as current production system uses these Hands-on experience with job scheduling and monitoring tools such as CAWA, Control-M, Autosys, or equivalent. Solid experience in troubleshooting and resolving issues in a production data pipeline environment. Strong knowledge of SQL, with the ability to write and optimize queries for troubleshooting and validation. Experience with data validation, data reconciliation, and data quality monitoring. Knowledge of data warehousing concepts and architecture. Familiarity with cloud data platforms and cloud-based ETL processes is a plus. Experience with log file analysis and automated alerting systems for monitoring ETL processes Desired Skill Set Familiarity with cloud data platforms and cloud-based ETL processes is a plus. ''