Expert Data Engineer Leader

1 week ago

Rajkot, Gujarat, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 30,00,000
Job Overview

We are seeking a seasoned data professional to fill a Lead Data Engineer position within our organization. The ideal candidate will have extensive hands-on expertise in Azure and Databricks, with a proven track record of efficient delivery and team acceleration.

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

Key Responsibilities
  • Data Pipeline Design: Develop and optimize data pipelines using Azure and Databricks.
  • Databricks Asset Bundles (DABs): Work closely with DABs for CI/CD and environment management.
  • ELT/ETL Workflows: Build and manage scalable workflows with Databricks, Delta Lake, ADF, and other Azure services.
  • Technical Advancements: Continuously adopt and apply new Databricks features to accelerate delivery.
  • Code Optimization: Optimize Spark, SQL, and Python code for performance and scalability.
  • Software Engineering Best Practices: Apply software engineering best practices (e.g., TDD, CI/CD, modular design, code reviews) to ensure a robust, maintainable, and strategic data ecosystem.
  • Mentorship: Mentor team members to improve overall team productivity and technical capability.
  • Tight Deadlines: Deliver in a fast-paced environment with quick turnaround expectations.
Requirements
  • 8+ years in Data Engineering with at least 5 years hands-on experience in Azure & Databricks.
  • Technical Expertise: Strong expertise in:
  • Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics, unity catalog)
  • Azure Data Services (ADF, Azure Synapse (good to have), Azure Data Lake, Azure SQL)
  • Python, SQL, Spark (with proven performance optimization skills)
  • Modern Data Architectures: Strong knowledge of modern data architectures (Lakehouse, governance).
  • Track Record: Track record of efficient delivery and helping teams accelerate execution.

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