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Senior Data Engineer to support the processing and storing of customer data pipelines using Pyspark, Databricks, and Snowflake.

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

Our client is actively seeking a Senior Data Engineer to support the processing and storing of customer data using Pyspark, Databricks, and Snowflake.


Initial 6 month contract with possibility of extension. Hybrid work model - 2 days in office & 3 days remote - open to Montreal or Mississauga.


Responsibilities:

  • Integrate a Data Engineering team that builds and support data pipelines for the telematic program.
  • Participate in the development of new data pipelines features and support current ones.
  • Participate in the team ceremonies like the daily scrum meeting, daily DevSync, sprint planning, story refinements and sprint demo.
  • Participate with the team in its quest for continuous improvement and application of best practices in various area.


Must-Haves:

  • 7+ years experience as a Data Engineer
  • Experience using PySpark and AWS Clusters for large-scale data processing
  • Experience building data pipelines with Databricks
  • Proficiency with Snowflake for storing and querying structured data.


Nice-to-Haves:

  • French communication skills
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Requirements

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Work experience (years)

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