Bigdata test Engineer

Overview

Capco is looking for a highly motivated Big Data Test Engineer with strong manual and automation testing experience to validate Big Data applications and data pipelines.

What you'll do

• 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.

What you'll need

• 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 and 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.

Nice to have

• Experience testing applications that use Kafka, Redis or Hive.
• Exposure to Big Data platforms and distributed data processing systems.
• Experience with test automation frameworks and data validation techniques.

Details

• Location: Pune, Bengaluru, Mumbai, Hyderabad, Gurugram or Chennai, India.
• Hybrid: 2 days a week from office.
• Experience: minimum 4 years in Big Data.