Bigdata test Engineer

Capco is hiring a Bigdata test Engineer in Bengaluru, Chennai and Gurugram, India. Level rates it ; you can apply on Capco.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions big data, software testing and test automation among its tools and skills.
Level classes it as a mid-level role.
Capco has 720 other open roles on Level.
Posted within the past week.

AI in this role

Perform manual and automated testing for big data applications, data pipelines, and data workflows.

big-datasoftware-testingtest-automationdata-pipelines

Job Title: Big Data Test 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.

Job Title: Big Data Test Engineer

Location: Pune/ Bengaluru/ Mumbai/ Hyderabad/ Gurugram/ Chennai (Hybrid - 2 days a week from office)

Experience: Min 4yrs in Big Data

Role Summary We are looking for a highly motivated Big Data Test Engineer with strong manual and automation testing experience. The ideal candidate should have a solid testing foundation, strong analytical and debugging skills, and the ability to work independently while collaborating effectively with cross-functional teams. Key Responsibilities Design, develop, and execute comprehensive test plans, test scenarios, and test cases. Perform manual and automated testing for Big Data applications and data pipelines. Validate data quality, data transformations, and end-to-end data processing workflows. Identify, analyze, and troubleshoot defects to determine the root cause. Work closely with developers and stakeholders to drive defect resolution. Create and maintain test documentation, test results, and defect reports. Proactively identify risks, edge cases, and potential quality gaps during the testing lifecycle. Collaborate with global teams and participate in discussions across different time zones when required. Take ownership of deliverables and drive tasks to completion with minimal supervision. Required Qualifications 3+ years of experience in software testing, including manual and automated testing. Strong understanding of Test Engineering principles and best practices. Proven ability to design effective test cases, including negative and edge-case scenarios. Basic knowledge of: Hadoop Hive Spark Strong analytical and problem-solving skills with the ability to debug issues and identify root causes. Good working knowledge of Unix/Linux commands. Ability to work independently with a high level of accountability and ownership. Excellent communication and collaboration skills. Positive attitude, strong team-player mindset, and willingness to learn. Flexibility to support meetings outside standard working hours when required to collaborate with global teams. Preferred Qualifications Experience testing applications that use: Kafka Redis Hive Exposure to Big Data platforms and distributed data processing systems. Experience with test automation frameworks and data validation techniques. If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

How we rate this

Bigdata test Engineer at Capco rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Bigdata test Engineer is an open job at Capco.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in India - Bengaluru; India - Chennai ; India - Gurugram; India - Hyderabad; India - Mumbai; India - Pune.
The job was posted on November 3, 2026.
Seniority: mid.
Applications are handled by Capco. Apply on Capco

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Big DataSoftware TestingTest AutomationData Pipelines

Questions you could be asked

Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where software testing was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Big Data, Software Testing, Test Automation, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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