ETL Data Support

2 weeks ago


Toronto, Ontario, Canada IBU Consulting Full time

ETL Data Support

Fulltime

Toronto, ON

Job Description:

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.

Thanks & Regards

Atul Priyadarshi


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