- Experience
- 10+ yrs
- Salary
- INR 3,250,000 – INR 3,750,000 / year
- Openings
- 1
- Posted
- 2 hours ago
- Work mode
- In office
- Education
- B.Tech / B.E.
- Eligibility
- B.Tech / B.E. graduates in Computer Science and Engineering (CSE), Computer Science and Business System, Information Technology, or Electronics and Computer Engineering can apply.
- Resume
- Required to apply
Where you'll work
Job description
Role Overview
We are looking for a senior data engineering professional to lead the design and delivery of scalable Databricks Lakehouse environments. The role centers on building reliable ETL/ELT data flows, preparing platforms for GenAI use cases, improving performance and governance, mentoring engineers, and ensuring secure, high-quality data solutions that support analytics and AI initiatives.
Experience
This position requires more than 10 years of practical experience in data engineering, with a track record of leading enterprise-level data platform programs.
Eligibility
Applicants should hold a B.Tech / B.E. degree in one of the following: Computer Science and Engineering (CSE), Computer Science and Business System, Information Technology, or Electronics and Computer Engineering.
Key Focus Areas
- Architect and evolve Databricks Lakehouse solutions for enterprise use.
- Develop and maintain robust ETL/ELT pipelines for analytics and AI workloads.
- Support GenAI-ready data foundations, including modern data modeling and retrieval-oriented patterns.
- Improve governance, security, and performance across the data platform.
- Guide and mentor team members while driving delivery quality.
Additional Information
The compensation listed for this role is INR 32,50,000 to INR 37,50,000 per year.
The hiring organization is a global leader building advanced enterprise technology and centers of excellence across multiple industries, and is recognized as one of the best places to work.