GCP Data Mesh Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

• Experience working in a data-mesh-like or federated data model, where data is owned by domains, treated as a product, and delivered with clear ownership, SLAs, and quality expectations
• Strong hands-on SQL experience, including complex transformations, aggregations, window functions, and performance tuning, with a mindset of building reusable, report-ready datasets rather than one-off extracts
• Experience working with business-aligned datasets or domains, with clear ownership, data quality responsibility, and an understanding of downstream reporting/consumption needs (Jasper / BIRT or similar)
• Practical experience consuming and producing data via APIs, with an understanding of schemas, data contracts, reconciliation logic, and failure handling
• Exposure to cloud data platforms, preferably GCP (BigQuery, GCS, basic IAM), with an ability to design scalable and cost-aware data models.