Bigdata test Engineer

Capco; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Capco in Bengaluru is hiring a Big Data Test Engineer to design, execute, and validate testing strategies for large data applications and pipelines. You will perform manual and automated testing, validate data quality and transformations, and troubleshoot defects with developers.

The role requires strong Unix/Linux skills, knowledge of Hadoop ecosystems (Hadoop, Hive, Spark), and a proactive, collaborative approach to quality.

Qualifications

• Design and implement test plans and cases for big data apps.
• Mix of manual and automated testing for data pipelines.
• Validate data quality, transformations, and end-to-end workflows.
• Identify and troubleshoot defects with developers to find root causes.
• Document results, reports, and risks to quality processes.

Responsibilities

• Design, develop, and execute comprehensive test plans, test scenarios, and test cases for big data applications
• 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 root cause and drive resolution with developers and stakeholders
• Create and maintain test documentation, test results, and defect reports while proactively identifying risks and quality gaps

Skills

Test Engineering

Manual & Automated Testing

Data quality validation

Analytical problem-solving

Communication

Tools

Hadoop

Hive

Spark

Unix/Linux

Kafka

Redis

Test automation

Data validation

Job description

Capco, a Wipro company, is a global technology and management consulting firm serving the banking, financial services, and energy sectors. This role is for a Big Data Test Engineer responsible for designing, executing, and validating comprehensive testing strategies for big data applications and data pipelines.

What You'll Do

• Design, develop, and execute comprehensive test plans, test scenarios, and test cases for big data applications
• 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 root cause and drive resolution with developers and stakeholders
• Create and maintain test documentation, test results, and defect reports while proactively identifying risks and quality gaps

What You Need

• Minimum 3–4 years of experience in software testing, including both 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, and Spark
• Good working knowledge of Unix/Linux commands with strong analytical and problem-solving skills
• Ability to work independently with high accountability and ownership; excellent communication and collaboration skills

Nice to Have

• Experience testing applications that use Kafka and Redis
• Exposure to big data platforms and distributed data processing systems
• Experience with test automation frameworks and data validation techniques