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About the job
Overview:
JD for AWS – Data Engineer The requirements: Data Engineer with a minimum of 7+ years of relevant 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 7+ 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.
Skills required
PysparkPyspark / Python / Boto3Python FrameworksLibraries according to python best practicesSpark SQLCode RefactorizationUnit Tests/TDDFixing Difficult Bugs
Employee location
India
Experience level
7 Years - 10 Years
Workplace type
Remote
Job type
full time
Compensation
Not specified
Currency
🇺🇲USD
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