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, 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

Up-to-date 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 (good 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