Data Engineering Lead Jobs in India

kanerika·India·On-site

Data Engineering Lead

metyisag·India·On-site

Data Engineering Lead

Metyis is growing! We are looking for a Data Engineering Lead with 7 -10 years of experience for a full-time position to join our Data and Analytics team in Gurgaon. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-grow

metyisag·India·On-site

Data Engineering Lead

Metyis is growing! We are looking for a Data Engineering Lead with 7 -10 years of experience for a full-time position to join our Data and Analytics team in Bangalore. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-gr

cigna·India·On-site

Data Engineering Lead Analyst - HIH - Evernorth

INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product deve

cigna·India·On-site

Data Engineering Lead Analyst - Cigna Healthcare

Overview Cigna International Health is seeking a skilled Cloud Data Engineer to design, build, and optimise cloud‑based data platforms and data products. This role is pivotal in delivering scalable, secure, and high‑performance data infrastructure supporting UAE operations, with a primary focus on t

barclays·India·On-site

GenAI Data Engineering Lead

Job Description Purpose of the role To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to

barclays·India·On-site

VP - Data Engineering Lead - IDL Technology

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipel