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16 hours ago
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redshift aws etl s3 python

📋 Description

  • Design, build, and optimize cloud-based data pipelines.
  • Migrate and integrate large data across systems.
  • Develop scalable ETL processes for structured/unstructured data.
  • Manage AWS data lake and warehouse (Glue, S3, Athena, Redshift, Lake Formation, Lambda
  • Automate data processing with Python scripts and DB procedures.
  • Operate relational DBs (MySQL, SQL Server, Aurora MySQL) for performance and reliability.

🎯 Requirements

  • Proven Data Engineer with AWS cloud data engineering/migration experience.
  • Hands-on AWS: S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge
  • Relational DB expertise: MySQL, SQL Server, data warehousing (Redshift).
  • Python scripting for ETL, automation, data transformation.
  • Experience with structured/unstructured data, large-scale ETL, data cleansing.
  • Knowledge of Hudi tables, Glue Catalog, SQS, cloud data lake implementations.

🎁 Benefits

  • Fully remote work from anywhere.
  • Competitive contract compensation based on experience.
  • Opportunity to work on large-scale cloud migration and data platform initiatives.
  • Exposure to broad AWS ecosystem and cloud-native tech.
  • Collaborative Agile environment with ownership and autonomy.
  • Product-driven engineering projects to expand cloud data expertise.
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