
Highly Skilled Data Engineering Professional
2 days ago
We are seeking a highly skilled Lead Data Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and optimizing data pipelines using Azure and Databricks.
The ideal candidate is a hands-on problem solver who ensures efficiency in their own work while also helping the wider team become more productive and technically stronger.
- Design, develop, and optimize data pipelines using Azure and Databricks.
- Hands-on work with Databricks Asset Bundles (DABs) for CI/CD and environment management.
- Build and manage scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
- Continuously adopt and apply new Databricks features to accelerate delivery.
- Optimize Spark, SQL, and Python code for performance and scalability.
- Apply software engineering best practices (e.g., TDD, CI/CD, modular design, code reviews) to ensure a robust, maintainable, and strategic data ecosystem.
- Mentor team members to improve overall team productivity and technical capability.
- 8+ years in Data Engineering with at least 5 years hands-on in Azure & Databricks.
- Strong expertise in:
- Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics, unity catalog)
- Azure Data Services (ADF, Azure Synapse, Azure Data Lake, Azure SQL)
- Python, SQL, Spark (with proven performance optimization skills)
- Strong knowledge of modern data architectures (Lakehouse, governance).
- Track record of efficient delivery and helping teams accelerate execution.
- Experience with AI-driven development (e.g., GitHub Copilot, or similar tools) to accelerate coding, improve productivity, and maintain high-quality implementations.
- Exposure to Generative AI in Databricks (LLMOps, Model Serving, MosaicML, vector search) – good to have.
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