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 modern 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 impact
-Grow your career in an environment that values innovation, ownership, and continuous learning
Pay: ₹80,000.00 - ₹1,870,927.45 per month
Experience:
- Data Engineer (ETL) : 7 years (Required)
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
