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Data Platform Engineer (102-08SENG-01)

Role overview

Responsibilities

  • Convert Azure Data Factory estate into Databricks workflows on AWS
  • Migrate 2,094 ADF pipelines as reusable templates
  • Translate 9,859 pipeline activities, requiring mapping and rewriting as Lambda or Step Functions
  • Move 471 Spark dataflows onto Databricks on AWS
  • Rehost 4 Databricks workspaces including notebook paths and Unity Catalog rewiring
  • Reconcile migrated data against source systems in a regulated environment

Key facts

Hard skills

About the company

OpsBrasil logo

OpsBrasil

  • IT Services & Consulting
  • SME
  • 11–50
Staff augmentation, software development team augmentation, international recruiting, virtual teams, remote tech talent

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Job description

This role converts a large Azure Data Factory estate into Databricks workflows on AWS. The scope for year one: 2,094 ADF pipelines to migrate — built as reusable templates rather than one-by-one — 9,859 pipeline activities to translate (some map directly, others need rewriting as Lambda or Step Functions), 471 Spark dataflows to move onto Databricks on AWS, and 4 Databricks workspaces (Dev, QA, Pre-prod, Prod) to rehost, including notebook paths and Unity Catalog rewiring. This is a regulated environment, so reconciling migrated data against source systems is part of the definition of done, not an afterthought.

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