Quality Assurance Engineer – Google Cloud

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.