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Capco

Senior Data Tester

Reposted An Hour Ago
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Hybrid
Pune, Maharashtra
Senior level
Hybrid
Pune, Maharashtra
Senior level
Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.
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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
Experience Range: 5–9 years


Role Overview:
The Senior QA/Data Tester validates the functional and technical integrity of data pipelines across enterprise-scale Big Data environments. The role focuses on SQL validation, Spark testing, automation, and ensuring high-quality data delivery.
 
Key Skills:
 
• 5–9 years of QA/testing experience in Data Warehouse or Data Engineering projects
• Strong SQL expertise (Oracle/Hive) for complex data validation
• Hands-on experience in Python, Unix, and shell scripting
• Experience testing Spark + Scala/Java applications on Hadoop or object storage
• Exposure to automation frameworks for Big Data environments
• NiFi experience (preferred)
• Strong analytical, communication, and coordination skills
• Agile delivery experience

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