Principal Data Engineer

Capco

India - Pune Remote permanent

Posted: December 13, 2025

Required Skills

Job Description

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

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

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