Azure Data Leader

1 week ago


Gulbarga, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 22,50,000
Lead Azure Data Engineer

We are seeking a seasoned Lead Data Engineer with extensive expertise in Azure and Databricks to lead our data engineering efforts.

This is a senior technical role that demands high expectations. The ideal candidate must be highly hands-on, technically strong in Azure and Databricks, and capable of delivering high-quality solutions efficiently.

Main Responsibilities:

  • Design, develop, and optimize data pipelines using Azure and Databricks.
  • Work closely with Databricks Asset Bundles (DABs) for CI/CD and environment management.
  • Built 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.
  • Deliver in a fast-paced environment with quick turnaround expectations.

Requirements:

  • 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.

Key Qualities:

  • Efficiency-driven mindset – focused on speeding up both personal and team delivery.
  • Strong communicator within the team, able to share knowledge and mentor effectively.
  • Highly motivated, proactive, and results-oriented.
  • Ability to work in a fast-paced environment with quick turnarounds.
  • Team-first approach – drives collective improvement and efficiency.


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