Job Description
Greetings from IndusInd Bank We are currently hiring for Lead Data Engineer Location- Mumbai Experience- 10 to 17 Yrs Role Details: Lead, design, and build a cloud-native data platform on Azure, with a strong focus on Azure Databricks and modern data engineering practices. This role requires a hands-on technical leader who can architect scalable solutions while leading a team of Data Engineers and Data Analysts to deliver high-quality data products and insights. Overall, Job Description Data Modeling & Architecture Expertise in: Conceptual, Logical & Physical Data Modeling Dimensional modeling (Star/Snowflake schemas) Experience building models optimized for: Lakehouse (Databricks) Analytical workloads Strong understanding of: Data partitioning, indexing, data skipping, caching techniques Programming & Transformation Robust hands-on skills in: PySpark (mandatory) Python for data transformation and automation Experience implementing: Data pipelines using Databricks workflows / jobs Reusable transformation frameworks Integration & Advanced Capabilities Experience with:



API integration and data ingestion frameworks CI/CD in Azure (Azure DevOps, Git integration with Databricks) Infrastructure as Code (ARM templates / Terraform – good to have) Analytics & BI Experience integrating data platforms with: Power BI (preferred) Ability to: Create semantic layers and datasets for business consumption Enable self-service analytics Good to Have Knowledge of: Azure Purview / Microsoft Fabric (emerging tools) Data governance frameworks Streaming analytics and real-time pipelines Key Responsibilities Hands-On Technical Leadership Lead by example with active hands-on development in Azure Databricks Design and implement: Scalable lakehouse architectures High-performance data pipelines Review and guide code, architecture, and best practices across the team Team Leadership Manage and mentor a team of: Data Engineers Data Analysts Drive best practices in: Code quality Dat

📌 Data Engineering Lead (Mumbai)
🏢 IndusInd Bank
📍 Mumbai