Are you a high-performing QA expert ready to help shape the future of global marketing technology? Our Global Campaign Tracking (GCT) team, part of the Enterprise Personalization Portfolio, is looking for a skilled Quality Assurance Engineer to deliver next-generation capabilities.
In this role, you will be the subject matter expert driving automation and quality strategies for large-scale data processing pipelines and cloud migrations.
Mandatory Skills & Qualifications
Please note: We are looking for candidates who meet the following specific technical requirements. Please apply only if you possess these matching skills.
- Experience: 6–9 years of hands-on software testing experience, including extensive knowledge of automated testing and architecture.
- Big Data & GCP Expertise: Deep expertise in developing test cases for Big Query , Data Proc , Hive , and Spark .
- Programming for QA: Proficiency in writing test scripts using PySpark , SQL , and Scala .
- Testing Frameworks: Expert knowledge of Test Automation Design Patterns and frameworks such as TDD (Test Driven Development) and BDD (Behavior Driven Development).
- Performance Testing: Hands-on experience with tools like JMeter , pytest , or similar performance and load testing utilities.
- Cloud & Distributed Systems: Proven experience testing and debugging resilient distributed systems using Big Data Clusters and Google Cloud Platform (GCP) .
- Agile Proficiency: Experience working within Agile methodologies and using industry-standard tools for defect tracking and source code management.
Key Responsibilities
- Pipeline Validation: Testing and quality assurance of large-scale data pipelines using PySpark and SQL.
- Migration Testing: Writing scripts to validate the migration of Hadoop/Spark/Hive workloads to Google Cloud.
- Strategy & Automation: Driving the automation strategy at the application and portfolio levels to ensure the highest quality code.
- Environment Management: Setting up and maintaining test data and environments across development, staging, and production.
- Backlog Review: Reviewing user stories and requirements for functional completeness, performance, reliability, and security.
Bonus Skills
- Experience testing Machine Learning or data mining models.
- Familiarity with building and adopting entirely new test frameworks.
Location: Chennai
Note to Applicants:
We are looking for a specific technical match for this high-energy team. Please apply only if you meet the mandatory skill requirements listed above.
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