Job Description


Job Description:

Responsibilities:
  • Architect, build, and maintain scalable and reliable data pipelines using AWS and distributed processing frameworks.
  • Develop ETL/ELT processes using Python, PySpark, and AWS services such as Glue and Lambda.
  • Implement workflow orchestration using Airflow and AWS-native automation tools.
  • Optimize data storage, querying, and processing using Athena and other AWS analytics services.
  • Create and manage infrastructure-as-code components with Terraform (basic proficiency expected).
  • Work closely with data architects, analysts, and application teams to deliver robust data solutions.
  • Ensure best practices for data quality, security, governance, and monitoring across the data ecosystem.
    • Must-Have Skills:
  • AWS Lambda.
  • AWS Glue.
  • PySpark.
  • Python.
  • Airflow.
  • Athena.
  • Terraform (Basic).
    • ...

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