Etl Analyst
Posted Updated
Summary
Supports data operations by monitoring ETL pipelines and batch jobs, troubleshooting and resolving incidents, validating data, and writing/optimizing SQL queries on AWS-based data platforms. Core stack: SQL with PostgreSQL, basic Python, AWS (S3, Glue), with ITIL-based support processes.
Role ETL Analyst Data Operations
Must-Have Skills
- 2-3 years of experience in ETL/Data support and operations
- Strong SQL skills with hands-on experience in PostgreSQL
- Basic to intermediate Python knowledge
- Exposure to AWS services (S3, Glue, etc.)
- Experience in incident resolution and troubleshooting
- Understanding of data warehousing concepts
- Familiarity with ITIL processes
Good-to-Have Skills
- Experience with monitoring and scheduling tools
- Exposure to production support environments with SLA adherence
- Basic understanding of data validation and quality checks
- Domain exposure to Life Sciences
- Good communication skills for stakeholder interaction
Job Description
Role Overview
We are hiring a ETL Analyst to support data operations by monitoring pipelines, resolving issues, and ensuring reliable data delivery. The role requires strong analytical skills and the ability to work in a fast-paced support environment.
Key Responsibilities
- Monitor ETL jobs, workflows, and batch processes
- Troubleshoot and resolve data pipeline and system issues
- Perform data validation and support data quality checks
- Write and optimize SQL queries for analysis and issue resolution
- Assist in root cause analysis and implement fixes
- Work with AWS-based data platforms for monitoring and support
- Ensure timely execution of jobs and adherence to defined timelines
- Coordinate with team members and stakeholders for issue resolution