Aws Data Engineer

Role & responsibilities

• Data Engineer with a minimum of 3+ years of experience of data engineering experience.
• 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 optimization 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.