Role- AWS Data Engineer

Exp- 6+Only

Skills -Python,Databricks, AWS S3, Lymbda Functions, Pyspark, Pandas

- Design, build, and maintain data transformation pipelines using AWS services (Lambda Functions, Step Functions .. ) in Python.
- Design, build, and maintain data transformation pipelines using PySpark and Databricks. Implement and maintain complex calculation engine.
- Manage efficiently large dataset.
- Manage SQL database - Postgresql or MongoDB.
- Implement and maintain complex data calculation formula.
- Open to collaborate with Software Engineers.
- Participate in code reviews, design discussions, and software planning.
- Contribute to automation, testing, and deployment processes.

Key Responsibilities*

- Design, build,



and maintain data transformation pipelines using AWS services (Lambda Functions, Step Functions .. ) in Python.
- Design, build, and maintain data transformation pipelines using PySpark and Databricks. Implement and maintain complex calculation engine.
- Manage effeciently large dataset.
- Manage SQL database - Postgresql or MongoDB.
- Implement and maintain complex data calculation formula.
- Open to collaborate with Software Engineers.
- Participate in code reviews, design discussions, and software planning.
- Contribute to automation, testing, and deployment processes.

📌 Walk-in || Aws Data Engineer - Walk-In- Whitefield,Bengaluru (12 sep)
🏢 Tata Consultancy Services
📍 Bengaluru