Greeting from Indus Ind 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 (Bronze–Silver–Gold) 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
Robust 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:
Py Spark (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 – positive to have)
CI/CD pipelines (Azure Dev Ops)
Valuable 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 Py Spark
Implement data transformations across Medallion layers
Data Modeling & Architecture
Design and implement:
Star Schema data models for analytics
Optimized fact and di
📌 Data Engineer (Faridabad)
🏢 IndusInd Bank
📍 Faridabad
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