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Back to all positions
Data EngineeringFull-timeHybrid

Databricks Analytics Engineer

Architect and deliver end-to-end analytics solutions on the Databricks Lakehouse Platform for enterprise clients at APPIT Software in Toronto.

Toronto, Canada
Full-time
Data Engineering

Responsibilities

  • Design and implement medallion architecture (bronze, silver, gold) on Databricks Lakehouse
  • Build data transformation pipelines using Databricks notebooks, Delta Live Tables, and Workflows
  • Develop reusable data assets and curated datasets for self-service analytics and BI consumption
  • Implement Unity Catalog for centralized data governance, access control, and lineage tracking
  • Optimize Delta Lake table performance through compaction, Z-ordering, and liquid clustering
  • Collaborate with data scientists to productionize ML models using MLflow and Databricks Feature Store

Requirements

  • 5-8 years of data engineering or analytics engineering experience
  • Strong hands-on experience with Databricks, including notebooks, clusters, and job scheduling
  • Proficiency in PySpark, Spark SQL, and Delta Lake for large-scale data processing
  • Experience with medallion architecture patterns and data lakehouse design principles
  • Knowledge of Unity Catalog or similar data governance and cataloging solutions
  • Solid SQL skills and experience modeling data for downstream analytics consumption

Nice to Have

  • Databricks Certified Data Engineer Associate or Professional certification
  • Experience with dbt-databricks adapter
  • Familiarity with Terraform for Databricks workspace provisioning

Skills

DatabricksPySparkDelta LakeSQLPythonMLflowData LakehouseAzure

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