
Azure Data Engineer Leader
6 days ago
Unlock your expertise as a Lead Azure Data Engineer and propel our organization forward.
We seek a seasoned professional with hands-on experience in Azure and Databricks to spearhead our data engineering efforts.
This is a senior technical role that demands exceptional skills, strategic thinking, and the ability to deliver high-quality solutions promptly.
Responsibilities:
- Design and develop scalable data pipelines using Azure and Databricks
- Collaborate on environment management and CI/CD processes using Databricks Asset Bundles (DABs)
- Build and manage efficient ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services
- Stay up-to-date with the latest Databricks features and apply them to accelerate project delivery
- Optimize code for performance and scalability
- Adopt software engineering best practices to ensure a robust, maintainable data ecosystem
- Mentor team members to enhance overall productivity and technical capabilities
Requirements:
- 8+ years of experience in Data Engineering, with at least 5 years hands-on experience in Azure & Databricks
- Strong expertise in:
- Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics)
- Azure Data Services (ADF, Azure Synapse, Azure Data Lake, Azure SQL)
- Python, SQL, Spark, with proven performance optimization skills
- Deep knowledge of modern data architectures (Lakehouse, governance)
Becoming part of this dynamic team will expose you to cutting-edge technologies and provide opportunities for growth. If you're driven by delivering results and accelerating execution, we encourage you to explore this opportunity further.
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