Data Engineer - QA at Capco Singapore

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

QA/Testing Experience, SQL Expertise, Python, Unix, Shell Scripting, Spark Testing, Scala Applications, Hadoop, Object Storage, Automation Frameworks, NiFi Experience, Analytical Skills, Communication Skills, Coordination Skills, Agile Delivery Experience

Industry

Financial Services

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 Location: Pune/Bangalore 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 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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Responsibilities

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.