Hiring: Senior Data Engineer (ETL)

Pan India (Hybrid) | Contract (C2C) | Experience: 7-8 Years | 11:00 AM - 9:00 PM IST

We're looking for a passionate and experienced Senior Data Engineer who enjoys solving complex data challenges and building scalable, cloud-native data solutions. If you thrive in a fast-paced environment and love working with modern technologies like Databricks, Snowflake, Spark, and Azure, this could be the perfect opportunity for you.

You'll play a key role in designing and delivering robust data platforms that power analytics, reporting, and next-generation AI initiatives.

What You'll Be Doing
- Design and develop scalable ETL/ELT pipelines for enterprise data platforms.
- Build and optimize solutions using Apache Spark, Azure Databricks, and Snowflake.
- Develop integration workflows with Azure Functions and Azure Service Bus.
- Create efficient SQL transformations and data models.
- Implement Infrastructure-as-Code using Terraform.
- Build and maintain CI/CD pipelines for automated deployments and code quality.
- Partner with analytics, business,



and engineering teams to deliver impactful data solutions.
- Ensure data quality, scalability, reliability, and security across the platform.

What We're Looking ForCore Skills

✔ Strong Data Engineering and ETL/ELT experience
✔ Python and Advanced SQL
✔ Apache Spark (PySpark, Spark SQL)
✔ Azure Databricks (Unity Catalog)
✔ Snowflake
✔ Azure Functions & Azure Service Bus
✔ Terraform
✔ GitHub Actions, Git, Artifactory, SonarQube
✔ CI/CD and DevOps practices

Nice to Have
- Experience with AI/ML initiatives
- Exposure to Large Language Models (LLMs)
- Data Platform Architecture and Performance Optimization
-Cloud-Native Data Engineering expertise

Why Join Us?
- Work on enterprise-scale data platforms and contemporary cloud technologies
-Be part of exciting Analytics and AI-driven initiatives
- Collaborate with talented teams and industry experts
- Solve meaningful challenges and make a real business imp

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