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CDLF Tech lead

Open 43d

Summary

Leads cloud-based data engineering projects, building and optimizing data pipelines and warehouses using AWS, Snowflake, Spark, and related tools.

  • Developer experience in cloud platforms like AWS, Snowflake, etc.
  • Proficient user of Bash, Python, and Shell scripts for automating builds and deployment procedures, with a focus on CI/CD and Medallion Architecture.
  • Skilled in Shell/Bash scripting and building data pipelines on Unix/Linux systems.
  • Hands-on experience with big data technologies such as Spark, Hive, Iceberg tables, etc.
  • Expert in data modeling, is aware of data modeling, data warehousing concepts.
  • Experience with building data pipelines in Python/Pyspark/HiveSQL/Presto/BigQuery
  • Prior experience in Pharma and/or AbbVie is strongly preferred.
  • Great communication


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