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Lead Data Engineer

Vision Unlimited

Bengaluru, Karnataka, India · À temps plein

Soyez le premier à postuler

Expérience
10 ans et plus
Salaire
INR 3,250,000 – INR 3,750,000 / year
Ouvertures
1
Publié
il y a 1 heure
Mode de travail
Au bureau
Éducation
B.Tech / B.E.
Admissibilité
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.
CV
Candidature requise

Votre lieu de travail

Description de l'emploi

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.

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