We are looking for an experienced Data Engineer to build and optimize scalable data pipelines and AWS-based data platforms.
Key Responsibilities
- Develop and maintain data pipelines using Python and PySpark.
- Design and implement data lakehouse solutions on AWS.
- Build and manage data workflows using AWS Glue, EMR, ECS, and Step Functions.
- Work with DynamoDB and other data storage technologies.
- Monitor data pipelines and ensure data quality, performance, and reliability.
- Collaborate with stakeholders and engineering teams to deliver data solutions.
Mandatory Skills
- 5+ years of overall professional experience.
- 3+ years of experience in data platforms and big data technologies.
- Strong proficiency in Python and PySpark.
- Hands-on experience with AWS EMR, ECS, Glue, Step Functions, and DynamoDB.
- Experience designing and implementing AWS data lakehouse architectures.
Valuable to Have
- Apache Spark and Apache Iceberg.
- AWS Lambda, EventBridge, Kinesis, and Redshift.
- Experience with real-time data pipelines and event-driven architectures.
Pay: ₹1,010,000.00 - ₹1,580,000.00 per year
Work Location: In person
📌 Senior Data Engineer (Kochi)
🏢 TMC
📍 Kochi
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