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/Qualified)

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 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