Data Engineer

Greeting from IndusInd Bank!!

We are currently hiring for Senior Data Engineer -Azure, Databricks & Snowflake

Location- Gurgaon

Role Details:

We are looking for a highly hands-on Data Engineer with deep expertise in Azure Data Platform, Databricks, and Snowflake to design and build scalable data solutions.

The ideal candidate should have a strong foundation in Medallion (BronzeSilverGold) architecture and expert in designing analytics-ready data models using Star Schema. The role requires active involvement in data pipeline development, modelling, and performance optimization across cloud platforms.

Overall, Job Description

Data Architecture & Modeling

• Strong understanding and implementation of:
• Medallion Architecture (Bronze, Silver, Gold layers)
• Data Lakehouse concepts
• Expertise in:
• Designing Star Schema / Dimensional Models
• Fact and dimension table design
• Data modeling for analytics and BI consumption

Snowflake (Preferred)

• Hands-on experience in:
• Snowflake data warehouse (schema design, performance tuning)
• Data loading and transformations
• Query optimization and cost considerations

Programming & Querying

• Strong coding skills in:
• PySpark (mandatory)
• Python
• SQL (advanced level joins, window functions, optimization)
• Ability to:
• Write efficient and scalable transformation logic

Integration & Platform Capabilities

• Experience with:
• API-based data ingestion
• Self-Hosted Integration Runtime (SHIR)
• Understanding of:
• Data ingestion patterns (batch, streaming good to have)
• CI/CD pipelines (Azure DevOps)

Good to Have

• Power BI / Tableau integration
• Knowledge of:
• Azure Synapse
• SSIS migration to ADF
• Data governance and catalog tools

Key Responsibilities

• Hands-on Data Engineering
• Design and build scalable data pipelines using Azure and Databricks
• Develop and maintain Databricks notebooks and jobs using PySpark
• Implement data transformations across Medallion layers

Data Modeling & Architecture

• Design and implement:
• Star Schema data models for analytics
• Optimized fact and dimension tables
• Ensure:
• Data is structured for BI and reporting consumption

Platform Development

• Build pipelines between:
• On-prem / external sources ADLS / Blob
• ADLS / Blob Databricks / Snowflake / Synapse
• Work on:
• Data ingestion, transformation, and serving layers

Performance & Optimization

• Optimize:
• Databricks jobs and Spark performance
• SQL queries and Snowflake workloads
• Ensure:
• Efficient data processing and reduced latency

Collaboration

• Work closely with:
• Data Analysts (to enable reporting use cases)
• Architects and platform teams
• Translate business requirements into technical data solutions

Maintenance & Troubleshooting

• Monitor pipelines and resolve failures
• Debug data quality issues and pipeline errors
• Maintain proper documentation of pipelines and data model/

EDUCATION -Essential requirements:

• Bachelors degree in Computer Science or equivalent
• Preferred certifications:
• Azure Data Engineer (DP-203)
• Azure Fundamentals (AZ-900)

Preferred: Technical Skills

Core Data Engineering (Must-Have)

• Strong hands-on expertise in:
• Azure Databricks (PySpark, Delta Lake, Notebooks, Jobs)
• Azure Data Factory (ADF) pipelines, triggers, orchestration
• ADLS Gen2 / Azure Blob Storage
• Experience building:
• End-to-end data pipelines (batch & near real-time)
• Databricks certification (good to have)

WORK EXPERIENCE

• 58 years of overall experience in Data Engineering
• Minimum 35 years of hands-on experience in:
• Azure Data Platform (ADF, ADLS, Synapse)
• Azure Databricks (must-have)
• Snowflake (preferred / strong advantage)
• Proven experience working on large-scale data platforms and distributed data systems

Desired Behavioral / Functional Traits

• Strong hands-on mindset with high ownership
• Excellent problem-solving and analytical skills
• Ability to work in a fast-paced, delivery-oriented environment
• Good communication and collaboration skills
• Attention to data quality, scalability, and performance

If you are interested in this opportunity, please share your updated resume at Shraddha.Mankuskar@IndusInd.com.

Along with your resume, kindly mention:

- Current CTC

- Expected CTC

- Notice Period

Regards,

Team HR