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Data Engineer - PySpark/AWS - Asset & Investment Management

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

  • Experience designing, developing and delivering data engineering pipelines on cloud platforms for data science and machine learning products.
  • AWS Cloud experience is preferred
  • Python and associated data frameworks
  • PySpark, Pandas
  • RDBMS, object stores and SQL and (Snowflake, Hive and Spark SQL flavours)
  • Experience with AWS orchestration, data engineering, and compute services (Step Functions, Glue, Lambda, Code*)
  • Experience with DevOps/DataOps practices and tooling (eg: product releases, versioning, testing and monitoring)
  • Understanding of Agile principles and frameworks and experience in product-oriented development.

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