Build and maintain ETL pipelines for a large-scale analytics platform, ensure data quality, resolve data issues, handle support tickets, and assist senior engineers with enhancements. The role requires SQL and Python skills, basic cloud data platform knowledge, and familiarity with AWS Glue, Lambda, Redshift, and Apache Airflow. Experience in the Oil & Gas domain is preferred.
JOB DESCRIPTION: Data Engineer
About the Role:
Join our AMS team supporting a large-scale analytics platform for a major Oil & Gas enterprise. You will build and maintain data pipelines, ensure data quality, and support the data engineering track.
Key Technologies:
- AWS Glue, Lambda, Redshift
- SQL, Python
- Apache Airflow (basics)
What You'll Do:
- Maintain existing ETL pipelines
- Ensure data quality & resolve data issues
- Handle assigned support tickets
- Support senior engineers on enhancements
Requirements:
- 2+ years in Data Engineering or related
- Good SQL and Python skills
- Basic understanding of cloud data platforms
- Hybrid working model (Mumbai preferred)
Nice to Have:
- Experience in Oil & Gas domain
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