About the Role :

We are looking for an experienced Data Engineering Lead to lead the data engineering track for a large-scale analytics platform supporting a major Oil & Gas enterprise.

Key Technologies :

- AWS Glue, AWS Lambda
- Amazon Redshift, Aurora PostgreSQL
- MSK Kafka, AWS SQS, AWS Transfer Family
- Apache Airflow
- SQL, Python

Key Responsibilities :

- Lead a team of 3 Data Engineers.
- Manage and enhance large-scale data assets and ETL pipelines.
- Drive ETL performance, monitoring and optimization.
- Handle production incidents and P1 issues as part of a 24x7 rotation.
- Deliver enhancements within defined SLAs.
- Collaborate with business and technical stakeholders.
- Create and maintain runbooks and technical documentation.

Requirements :

- 8 years of experience in Data Engineering with leadership experience.
- Strong expertise in AWS Glue, Redshift and Aurora.
- Strong SQL and Python skills.
- Experience managing production data pipelines at scale.
- Willingness to work from the Mumbai client site as required.
- Comfortable with weekend/night on-call rotation.

Positive to Have :

- Experience in the Oil & Gas domain.
- Experience working on large-scale enterprise analytics platforms.

📌 Data Engineering Lead - ETL Pipelines (India)
🏢 SAVISHTY
📍 India