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AWS Data Engineer
Tata Consultancy Services
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
AWSAWS LambdaAWS Step FunctionsPythonPySparkDatabricks
Free
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AWSAWS LambdaAWS Step Functions
Key Skills for This Role
AWSAWS LambdaAWS Step FunctionsPythonPySparkDatabricks
Full Job Posting
Responsibilities
- Design, build, and maintain data transformation pipelines using AWS Lambda, Step Functions, and Python.
- Design, build, and maintain data transformation pipelines using PySpark and Databricks.
- Implement and maintain a complex calculation engine.
- Manage large datasets efficiently.
- Manage SQL database systems such as PostgreSQL or MongoDB.
- Implement and maintain complex data calculation formulas.
- Collaborate with software engineers.
- Participate in code reviews, design discussions, and software planning.
- Contribute to automation, testing, and deployment processes.
Technical skills
- AWS services, including Lambda Functions and Step Functions, are used for data pipeline development.
- Python is required for pipeline development.
- PySpark and Databricks are used for data transformation pipelines.
- SQL database experience includes PostgreSQL or MongoDB.
- The role involves automation, testing, code reviews, and deployment processes.
Requirements
- Experience designing, building, and maintaining data transformation pipelines using AWS services and Python.
- Experience building pipelines with PySpark and Databricks.
- Ability to implement and maintain complex calculation engines and formulas.
- Experience managing large datasets efficiently.
- Experience working with SQL databases, including PostgreSQL or MongoDB.
- Ability to collaborate with software engineers and participate in technical design and planning.
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