
Azure Lead Data Specialist
1 day ago
This position requires a highly skilled data engineer to lead and manage our team's efforts in designing, developing, and optimizing data pipelines using Azure and Databricks.
The ideal candidate will have hands-on experience with Databricks Asset Bundles (DABs) for CI/CD and environment management, as well as a strong understanding of ELT/ETL workflows with Databricks, Delta Lake, ADF, and other Azure services.
- Key Responsibilities:
- Design and develop scalable data pipelines using Azure and Databricks
- Hands-on work with Databricks Asset Bundles (DABs)
- Build and manage ELT/ETL workflows with Databricks, Delta Lake, ADF, and Azure services
- Optimize Spark, SQL, and Python code for performance and scalability
- Apply software engineering best practices to ensure a robust and maintainable data ecosystem
Required Skills & Qualifications:
- 8+ years of experience in data engineering with at least 5 years hands-on experience in Azure & Databricks
- Strong expertise in Databricks, Azure Data Services, Python, SQL, and Spark
- Knowledge of modern data architectures and track record of efficient delivery
Benefits:
- Opportunity to work with a leading software company
- Chance to lead and mentor a team of data engineers
- Competitive compensation package
Others:
- Must have 5–6 hours daily overlap with USA team (EST time zone) for collaboration
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