On-site
Full Time
The role will require deep knowledge of data engineering techniques to create data
pipelines and build data assets.
• At least 4+ years of Strong hands on programming experience with Pyspark /
Python / Boto3 including Python Frameworks, libraries according to python best
practices.
• Strong experience in code optimisation using spark SQL and pyspark.
• Understanding of Code versioning ,Git repository , JFrog Artifactory.
• AWS Architecture knowledge specially on S3, EC2, Lambda, Redshift,
CloudFormation etc and able to explain benefits of each
• Code Refactorization of Legacy Codebase: Clean, modernize, improve
readability and maintainability.
• Unit Tests/TDD: Write tests before code, ensure functionality, catch bugs early.
• Fixing Difficult Bugs: Debug complex code, isolate issues, resolve performance,
concurrency, or logic flaws.
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