Live opening · Posted 3 days ago
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About the role
Description supplied by the original job listing.
8+ Years
Mumbai
Full-Time
About the Role:
We are looking for a Data Engineering Lead to join our AMS team supporting a large scale analytics platform for a major Oil & Gas enterprise. You will lead the data engineering track, managing ETL pipelines, data transformations, and ensuring platform reliability.
Key Technologies:
* AWS Glue, AWS Lambda, Amazon Redshift, Aurora PostgreSQL
* MSK Kafka, AWS SQS, AWS Transfer Family
* Apache Airflow (orchestration)
* SQL, Python
What You'll Do:
* Lead a team of 3 data engineers in maintaining & enhancing large-scale data assets
* Own ETL pipeline performance, monitoring & optimization
* Handle production incidents (24x7 rotation for P1 issues)
* Drive enhancements within defined SLA timelines
* Collaborate with client business advisory team
* Create & maintain runbooks and documentation
Requirements:
* 8+ years in Data Engineering with leadership experience
* Expert in AWS data services (Glue, Redshift, Aurora)
* Strong SQL and Python skills
* Experience managing production data pipelines at scale
* Ability to work from Mumbai (client site as required)
* Available for weekend/night on-call rotation
Nice to Have: - Experience in Oil & Gas domain / large enterprise analytics
Work arrangement
Hybrid
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