Lead 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 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

Location: Pune/Bangalore
Experience Range: 9–12 years

Role Overview:
The Lead Data Engineer drives technical execution and provides leadership to Senior Engineers and QA Engineers. This role ensures engineering excellence, performs design/code reviews, and supports the Principal Engineer in delivering scalable, secure, and reliable data pipelines for enterprise-level data platforms.

Key Responsibilities:
• Lead development of Spark-based data pipelines and transformation workflows
• Mentor Senior Engineers and enforce engineering standards and patterns
• Conduct design and code reviews for performance, quality, and maintainability
• Collaborate with TPM and Product Owners to plan sprints and manage delivery milestones
• Troubleshoot complex data engineering issues and drive RCA
• Translate architectural direction into actionable engineering tasks

Required Skills:
• 9–12 years of Data Engineering experience
• Strong Spark (Scala/Python/Java) and Hadoop/Object Storage expertise
• Advanced SQL across Oracle, Netezza, Hive, or similar platforms
• Proven ability to mentor and lead engineering teams in Agile environments
• Strong analytical and communication skills