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Niche AWS/PySpark/Iceberg senior role at a mid-tier employer reduces applicant density.
Data platform and AWS-specific skills moderately limit cross-industry portability.
Mandatory senior-level AWS, PySpark, Iceberg and unit-testing requirements make screening strict.
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Design, develop, and maintain AWS data pipelines and systems using services like S3, Glue, EMR, and Redshift.
Implement data processing with PySpark, SparkSQL, and Apache Iceberg to support digital products and business transformation.
Write unit tests using pytest or unittest to ensure code quality and reliability.
Proficiency with AWS data services: S3, Glue, EMR, Redshift, step functions.
Experience with PySpark, SparkSQL, and Apache Iceberg.
Fluent English at B2 (Upper Intermediate) level.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune.
Senior-level experience in AWS data engineering and building scalable data solutions.
Strong knowledge of data pipeline development and testing in a big data environment.
Experience working in English-speaking teams and delivering data solutions for business transformation.