Principal Data 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 acrossbanking 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

Principal Data Engineer
Location: Pune
Experience Range: 12 years

Role Overview:
The Principal Data Engineer will lead the technical strategy and architecture for a large-scale enterprise data engineering program. This role provides end-to-end solution leadership establishes engineering standards and drives the implementation of scalable high-performing data platforms. The Principal Engineer will guide Leads Senior Engineers and QA teams while partnering with enterprise architecture and product stakeholders.

Key Responsibilities:
Own architecture solution design and engineering governance for the data platform
Define best practices for data modeling orchestration performance tuning and code quality
Mentor Lead Engineers and oversee design reviews technical decisions and issue resolution
Collaborate with enterprise architects to refine requirements and define technical roadmaps
Lead PoCs evaluate emerging technologies and introduce innovative engineering patterns
Ensure scalability reliability and compliance with enterprise standards

Required Skills:
12 years in Data Engineering and distributed data platforms
Deep experience with Spark (Scala/Python/Java) Hadoop ecosystem and cloud data environments
Expertise in Data Warehouse/Lakehouse design at enterprise scale
Strong SQL data modeling and performance optimization capabilities
Excellent leadership communication and stakeholder management skills