
Senior Azure Data Engineer
4 hours ago
Job Title
We're seeking an experienced Data Engineer to lead our Azure initiatives. This is a senior technical role with high expectations, requiring strong hands-on experience with Azure and Databricks.
This position involves designing, developing, and optimizing data pipelines using Azure and Databricks. You will 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.
Your Key Responsibilities:
- Design and develop robust data pipelines in Azure and Databricks.
- Implement efficient CI/CD processes using Databricks Asset Bundles.
- Develop scalable ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
- Optimize Spark, SQL, and Python code for performance and scalability.
- Apply software engineering best practices to ensure a maintainable and strategic data ecosystem.
- Mentor team members to improve overall team productivity and technical capability.
Required Skills & Experience:
- 8+ years of experience 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)
- Modern data architectures (Lakehouse, governance)
- Efficient delivery and team acceleration track record.
About the Role
This is a fast-paced environment with quick turnaround expectations. We require a highly motivated, proactive, and results-oriented individual who can drive collective improvement and efficiency.
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