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MongoDB Lead

On-site Hyderabad, India
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

The purpose of this role is to facilitate application solutions by developing and  reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives. 

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Position Summary:

The Senior Data Engineer will be responsible for designing, building, and operating scalable data platforms and pipelines that support enterprise analytics, reporting, automation, and downstream application use cases. This role requires strong expertise in data engineering fundamentals, distributed data processing, data modeling, and performance optimization across batch and streaming workloads. The Senior Data Engineer will partner closely with application teams, platform engineering, analytics, and business stakeholders to translate complex data requirements into reliable, governed, and production‑ready data solutions from design through steady‑state operations.

Requires Skills:

7+ years of professional experience as a Data Engineer working on production‑scale data systems.

7+ years of strong proficiency in Python and SQL for data transformation, pipeline development, and performance optimization.

7+ years of extensive experience building ETL/ELT pipelines and data processing workflows.

7+ years of hands‑on experience with relational and NoSQL databases ( mongodb) , including data modeling and query optimization.

Experience working with distributed data platforms and cloud‑based data storage solutions.

Solid understanding of data partitioning, file formats, and compression strategies for large datasets.

Experience operating in Linux environments with scripting for automation and troubleshooting.

Familiarity with CI/CD practices for data pipelines, including testing, versioning, and deployment automation.

Experience collaborating in Agile teams using Git‑based workflows.

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Mandatory Skills: MongoDB . Experience: 5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Source: the employer's careers page. Last checked 2026-10-24. Posted 2026-10-10.

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