Data Engineer Data Lake


Position

Within the Data Lake team, you provide the data to all teams of the company, from business teams (CEO included) to Data Science team.

What you’ll do

  • Build or update ETL (AWS Data Pipeline) to bring data into the Data Warehouse (AWS Redshift)
  • Optimise the ETL processing as Redshift is a distibuted DWH containing around 100 To
  • Maintain the Data Lake (dozens of big external tables) accessible by AWS Athena and Spectrum
  • Learn quickly new technologies, whether already used in the team or not
  • Maintain a good level of service for everyone
  • Share good practices
  • Participate to the Agile/Scrum methodology (stand-up, weekly, …)
  • Work in a highly-growing technical startup environment

Who you are

  • >3 years of experience
  • >2 years of experience with SQL (with query optimization)
  • >2 years of experience with ETL, DWH
  • AWS knowledges (Redshift, Glue, other tools) are a plus
  • Scripting knowledges (Python, Batch) are a plus
  • Big Data knowledges (Spark, Scala, Hadoop) are a plus
  • Github, Jira, Confluence, Asana knowledges are a plus
  • Startup experience is a plus

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