Data Engineer

Job description

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 (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 • 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: • Bachelor’s 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 • 5–8 years of overall experience in Data Engineering • Minimum 3–5 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