Job Description

Role Responsibilities:

  • Lead ETL architecture and data pipeline design
  • Develop scalable solutions using AWS Glue and PySpark
  • Optimize data transformations for large-scale processing
  • Collaborate with teams to deliver architecture aligned to business needs

Key Deliverables:

  • End-to-end data architecture on AWS
  • High-performance ETL workflows in Glue and PySpark
  • Architecture documentation and deployment guides
  • Support for contract-based project timelines and deliverables


Skills Required
Python, Pyspark, Etl, AWS Glue, Data Architecture

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