Role : Lead - Senior Data Engineer | Azure & Databricks

Location : Mumbai

Role : Lead - Senior Data Engineer / Azure & Databricks Lead

Industry : Banking / Financial Services

About the Role :

IndusInd Bank is looking for an experienced Lead - Senior Data Engineer to drive the design, development, and scaling of its cloud-native data platform on Microsoft Azure.

The role involves leading data engineering initiatives, architecting scalable data solutions, mentoring engineering teams, and contributing to enterprise-wide data transformation.

Key Responsibilities :

- Lead the design and development of scalable, cloud-native data engineering solutions on Azure.
- Build and optimize data pipelines using Azure Databricks, PySpark, Python, and Azure Data Factory (ADF).
- Design and implement modern Lakehouse and data platform architectures using Azure services.
- Work with Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure Synapse Analytics.
- Develop robust data models and data integration frameworks for enterprise analytics.
- Drive implementation of CI/CD pipelines using Azure DevOps and Git.
- Enable integration with Power BI and support self-service analytics capabilities.
- Ensure data platforms are scalable, secure, reliable, and optimized for performance.
- Provide technical leadership and mentorship to data engineering teams.
- Collaborate with business, analytics, architecture,



and technology stakeholders to translate requirements into scalable data solutions.
- Drive best practices around data engineering, cloud adoption, development standards, and platform governance.

Mandatory Technical Skills :

- Strong hands-on experience with Azure Databricks
- PySpark and Python
- Azure Data Factory (ADF)
- Azure Data Lake Storage Gen2 (ADLS Gen2)
- Azure Synapse Analytics
- Data Modeling
- Lakehouse Architecture
- Azure DevOps, CI/CD & Git
- Power BI integration and self-service analytics

Education &

Certifications :

Essential :

- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent.

Preferred Certifications :

- Microsoft Certified : Azure Data Engineer Associate (DP-203)
- Azure Fundamentals (AZ-900)
- Databricks Associate/Professional certifications

Ideal Candidate :

- 14 - 18 years of overall experience in data engineering, data platforms, or related technology roles.
- Robust hands-on experience across the Azure data ecosystem.
- Proven experience leading data engineering projects and technical teams.
- Strong understanding of enterprise data architecture, Lakehouse concepts, data modeling, and modern cloud data platforms.
- Experience working with large-scale data environments and complex enterprise data transformation initiatives

📌 IndusInd Bank - Data Engineering Lead - Azure Data Services (India)
🏢 IndusInd Bank
📍 India