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Databricks Data Engineer Toronto

Skills

apexazureazure data factorydata engineeringdata pipelinesdatabrickseltetlhivemedallion architecturepysparkpythonsqlunityunity catalogPythonAzureSQL

Description

Build Databricks pipelines in Toronto using SQL, Python, and PySpark for enterprise data migration and centralization. This contract role supports a data hub initiative.

Apex Systems seeks a Databricks Data Engineer to develop and maintain ingestion, transformation, and ETL pipelines. You will work across Bronze, Silver, and Gold layers within a medallion architecture, supporting Azure Data Factory and Unity Catalog environments. The work includes migrating workloads from Hive Metastore.

Key Responsibilities:

  • Design and maintain Databricks data pipelines
  • Build Bronze, Silver, and Gold processing layers
  • Ingest and transform enterprise source data
  • Develop curated datasets and downstream data feeds
  • Troubleshoot migration pipelines and transformation issues

Requirements:

  • Strong Databricks data engineering experience
  • Strong SQL, Python, and PySpark development skills
  • Experience designing ETL, ELT, and ingestion pipelines
  • Hands-on Azure Data Factory experience
  • Experience with relational or file-based sources

Apply Databricks, SQL, PySpark, and migration expertise to enterprise data engineering in Toronto with Apex Systems.

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