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 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 engineering standards Agile delivery

Architecture & Solution Design Translate business needs into: End-to-end Azure data architecture Scalable and reusable data models Define standards for: Data ingestion, transformation, storage, and serving layers

Stakeholder Engagement Collaborate with business stakeholders to: Understand requirements Translate into technical solutions Deliver actionable insights Act as the primary data advisor for the business vertical

Data Governance & Quality Implement and enforce: Data governance policies Data quality frameworks Metadata management (cataloging, lineage)

Optimization & Innovation Continuously optimize: Databricks jobs (performance & cost) Data storage and query performance Stay current with: Azure and Databricks advancements Modern data engineering practices (Medallion architecture, DataOps)



Education and Work Experience Requirements:

EDUCATION Essential requirements: Bachelor’s degree in Computer Science or equivalent Preferred certifications: Azure Data Engineer (DP-203) Azure Fundamentals (AZ-900) Databricks certifications (Associate/Professional)

Preferred: Technical Skills Core Data Engineering (Must-Have) Deep expertise in Azure Data Platform, including: Azure Databricks (core focus) – Spark (PySpark/Scala), Delta Lake, notebooks, workflow orchestration Azure Data Factory (ADF) – pipeline orchestration, integration runtime, monitoring Azure Data Lake (ADLS Gen2) – storage design, partitioning strategies Azure Synapse Analytics – data warehousing and SQL analytics Strong hands-on experience with: Data lakehouse architecture (Delta Lake preferred) ETL/ELT frameworks and data ingestion patterns Streaming (valuable to have): Structured Streaming, Event Hub, Kafka

WORK EXPERIENCE 10–17 years of overall experience Minimum 7+ years of hands-on experience in: Data engineering Data modeling in large-scale enterprise data platforms Strong experience in Azure-based data ecosystems and Databricks implementations Proven track record of leading data engineering and analytics teams

Interested candidates kindly share your updated profile on [email protected] or apply on our ATS portal link below for better tracking: Requition No: 87628 https://app1100.workline.hr/CandidatePortal/18999c40-0af4-47be-88b8-e594e8d8af58/Data-Warehousing-Engineer-Job-in-IBL-House-Office-86846

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