Big Data Hadoop Engineer
Wipro
- Location
- Pune, IND-27, IND, 411005<br/>
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 906 approvals (FY2023)
- Posted
- Aug 17, 2026
Skills
About this role
Job Description
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Job Title
Big Data Hadoop Engineer
City
Pune
State/Province
Maharashtra
Posting Start Date
8/17/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Role Purpose and Overview This role is designed for a seasoned Technical Lead specializing in Big Data and Hadoop environments. The primary focus is to drive the development and optimization of complex data pipelines, ensuring high performance, scalability, and data integrity. You will be responsible for developing, reviewing, and enhancing module-level code, designing robust replication strategies to promote data reliability, and conducting thorough root cause analyses to resolve recurring data issues. Collaboration is key, as you will work closely with both internal teams and external partners to deliver thoroughly documented, well-architected solutions that align with overarching business goals and technical standards. This role provides a unique opportunity to lead and influence significant data engineering projects and to mentor peers, contributing to a culture of continuous improvement and shared technical excellence. You will be instrumental in enabling the organization’s data-driven strategies through innovative application of industry-leading big data technologies and architectural best practices. ͏
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