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Data Engineer

Skills
SQLAmazon Web ServicesAzure DatabricksChange Data CaptureData PipelinesData TransformationExtract
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proven experience designing and maintaining reliable data pipelines
  • Comfortable working in the cloud with Databricks and AWS
  • Strong Python skills for pipelines automation and testing
  • Strong SQL skills with PostgreSQL/PostGIS or spatial data
  • Experience with Bronze Silver and Gold layer modelling using Python and Spark SQL
  • Experience with Lakeflow Spark Declarative Pipelines ETL Delta Unity Catalog Data Quality Medallion Architecture Change Data Capture SCD Types Python Git and GitHub

Nice to have

  • Curious about geospatial data
  • Clear communicator
  • Adaptable
  • Learning mindset

Day to day

  • Design, build, and maintain scalable data pipelines and platforms that transform large-scale geospatial datasets.
  • Automate ETL processes and help deliver a modern medallion architecture with bronze, silver, and gold layers.
  • Partner with senior engineers and product teams to create trustworthy, well-governed data products and improve pipeline performance.