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:
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AWS Glue, AWS Lambda, Amazon Redshift, Aurora PostgreSQL
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MSK Kafka, AWS SQS, AWS Transfer Family
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Apache Airflow (orchestration)
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SQL, Python
What You'll Do:
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Lead a team of 3 data engineers in maintaining & enhancing large-scale data assets
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Own ETL pipeline performance, monitoring & optimization
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Handle production incidents (24x7 rotation for P1 issues)
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Drive enhancements within defined SLA timelines
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Collaborate with client business advisory team
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Create & maintain runbooks and documentation
Requirements:
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8+ years in Data Engineering with leadership experience
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Expert in AWS data services (Glue, Redshift, Aurora)
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Strong SQL and Python skills
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Experience managing production data pipelines at scale
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Ability to work from Mumbai (client site as required)
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Available for weekend/night on-call rotation
Nice to Have: - Experience in Oil & Gas domain / large enterprise analytics
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