Description

Key Skills: Oracle DB, Data Bricks, SQL, Informatica IICS, Linux, Debugging, Python, Monitoring

Roles and Responsibilities:

• Manage daily/weekly operational activities for ETL pipeline refreshes and data validations.
• Supervise and support root cause analysis for data issues using SOPs and escalation protocols.
• Monitor data refresh health and ensure timely, accurate delivery of integrated datasets.
• Serve as the primary point of contact for operational updates, data issue escalations, and reporting.
• Coordinate with cross-functional teams to resolve data integration problems and maintain SLA adherence.

Skills Required:

• 4.5 - 6 years of experience in data integration/ETL operations, including SLA-driven environments.
• Informatica IICS for data integration and ETL operational support.
• Databricks (data bricks) for managing and validating data pipelines.
• Oracle DB and SQL for data investigation, querying, and validation.
• ETL operations experience including refresh monitoring, data validation, and issue troubleshooting.

Good to Have:

• Monitoring practices for pipeline health and operational visibility.
• Linux familiarity for log review and operational troubleshooting.
• Python for data investigations and automation support.
• Debugging experience for resolving data integration defects.

Education: Bachelor's or master's degree in Analytics, Statistics, Economics, Engineering, Mathematics, or a related quantitative field

Key Skills

Education

Any Graduate