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 robust 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
Strong 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
Data engine

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