Databricks Data Engineering Consultant

Employer Industry: Data Engineering and Analytics

• 100% remote work flexibility
• Opportunity to work on a short-term, impactful data platform modernization initiative
• Engage in hands‑on backend data engineering to improve data structures and performance
• Collaborate on optimizing Unity Catalog for enhanced reporting and analytics
• Contribute to the migration of analytical data, improving scalability and maintainability

• Transfer data tables from Azure Synapse into Databricks using PySpark-based notebooks and pipelines
• Deploy solutions into production environments and provide documentation for ongoing support
• Design and optimize Unity Catalog structures to support reporting and analytics access patterns
• Relocate business and transformation logic from Power BI into Databricks
• Verify migrated data for accuracy, completeness, and alignment with source systems

• Strong hands‑on experience with Databricks data engineering using Py Spark
• Solid understanding of Power BI data models and backend integrations
• Direct experience implementing and managing Unity Catalog
• Background in building, maintaining, and optimizing data transformation pipelines
• Exposure to near real‑time or operational data sources (e.g., ERP or similar systems)

• Prior experience migrating workloads from Azure Synapse to Databricks

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