This page was automatically translated and may contain errors. View in English.
₢ 킹

Lead Data Engineer

Vision Unlimited

Bengaluru, Karnataka, India · 정규직

가장 먼저 지원하세요

경험
10년 이상
샐러리
INR 3,250,000 – INR 3,750,000 / year
채용 공고
1
게시됨
2시간 전
작업 모드
사무실에서
교육
B.Tech / B.E.
적임
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.
재개하다
신청 시 필수 사항

당신이 일하게 될 곳

직무 설명

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.

답변을 원하시면 남겨주세요. 다른 용도로는 사용하지 않습니다.

클릭하여 살펴보세요드래그 앤 드롭 또는 반죽 스크린샷

PNG, JPG, GIF, MP4, WebM, MOV · 파일당 최대 20MB · 최대 5개 파일

🤖
온라인 · 즉각적인 AI 도움말