Lead Data Engineer
Summary
A Databricks-focused data engineer role in Netscribes' Data & AI Centre of Excellence, building use cases, POCs, and solutions for the Databricks partnership across Manufacturing, Retail, and BFSI verticals. Requires strong data engineering fundamentals (5+ years) and curiosity for Databricks AI capabilities like Mosaic AI and Genie.
Job Description
About the Company We are looking for a Databricks Data Engineer who is strong on fundamentals and genuinely curious about where the platform is going. This role sits within our Data & AI Centre of Excellence as part of a dedicated Databricks practice -focused on building use cases, running POCs, and developing solutions that support and grow our Databricks partnership. About the Role This is not a pipeline maintenance role. The work is exploratory by nature -you will be expected to learn new Databricks capabilities as they land, build proof-of-concepts, and contribute to a growing solution catalogue across Manufacturing, Retail, and BFSI verticals. Responsibilities If you are someone who reads release notes, experiments in sandboxes, and wants to understand the full Databricks stack rather than a narrow slice of it -this is the right environment. The expectation at this level is solid DE foundations combined with hands-on exposure to Databricks AI capabilities -specifically Mosaic AI and Genie. Production experience is not required for the AI layer; demonstrated curiosity and ability to build and present working POCs. Qualifications Exp-5+ years Required Skills Strong fundamentals in Data Engineering Hands-on exposure to Databricks AI capabilities Preferred Skills Experience with Mosaic AI and Genie Pay range and compensation package Not specified Equal Opportunity Statement We are committed to diversity and inclusivity.