Build enterprise-scale Lakehouse solutions as a Senior Databricks Developer using Python, PySpark, SQL, and Delta Lake expertise.
This senior position focuses on developing scalable data engineering solutions with Databricks. You will create notebooks, workflows, jobs, pipelines, and reusable platform components. The work also includes CI/CD automation, infrastructure-as-code, Unity Catalog governance, and performance optimization across enterprise data environments.
Key Responsibilities: Design scalable data engineering solutions with Databricks, Python, PySpark, and SQL
Develop notebooks, workflows, jobs, and Lakeflow pipelines
Build reusable frameworks, libraries, templates, and automation components
Optimize Delta Lake partitioning, clustering, and maintenance operations




Troubleshoot Spark execution, queries, performance, and resource utilization
Requirements: Strong hands-on Databricks development and engineering experience
Advanced Python, PySpark, and SQL programming skills
Robust Apache Spark, Delta Lake, and Lakehouse architecture experience
Experience developing Databricks notebooks, jobs, workflows, and pipelines
Knowledge of Spark performance tuning and compute optimization
Apply advanced Databricks, Python, PySpark, SQL, and Delta Lake skills to enterprise Lakehouse engineering.

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📌 Senior Databricks Data Engineer (Manitoba)
🏢 Enterprise Solutions
📍 Manitoba