Lead QA Automation Engineer
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Key skills for this role
About the Role
DXC Technology is looking for a Technical Lead QA Engineer to ensure quality and reliability of data platforms. The role involves developing test automation frameworks for data pipelines, ETL processes, and backend systems.
Key Skills for This Role
Responsibilities
- Design and maintain automated test frameworks (unit, integration, end to end)
- Lead efforts to introduce and promote the test automation framework across teams
- Automate data quality checks for platforms like Data Warehouses, Data lake, and BigData environments
- Design the test tools as an individual package that can be reused in various projects
- Automate API and backend testing (REST/gRPC)
- Run performance, scalability, and fault tolerance tests
- Integrate tests into CI/CD pipelines
- Collaborate closely with platform, infra, and ML engineers
Requirements
- Minimum 8 years in QA Automation
- Strong, practical experience with Python (3+ years)
- Strong, proven experience with Pytest (2+ years)
- Hands on experience with Git
- Hands on experience with Azure DevOps
- Backend & API testing expertise
- Strong SQL and Python for test automation
- Experience with Databricks (2+ years preferred)
- Experience with test automation tools
- Understanding of CI/CD processes
- Familiarity with data warehouses & ETL testing
- Ability to own architecture & drive quality strategy
Full Job Posting
Project description
- We are looking for a Technical Lead QA Engineer to play a pivotal role in ensuring the quality and reliability of our data platforms. You will be responsible for developing and maintaining test automation frameworks for our data pipelines, ETL processes, and backend systems.
Responsibilities
- Design and maintain automated test frameworks (unit, integration, end to end)
- Driving Change and Stakeholder Engagement: Lead efforts to introduce and promote the test automation framework across teams. Drive buy in from stakeholders and developers by demonstrating the framework's value, providing clear communication, and ensuring alignment with team goals.
- Automate data quality checks for platforms like Data Warehouses (DWH), Data lake, and BigData environments.
- Distribute Across Projects: Design the test tools as an individual package that can be reused in various projects, allowing multiple teams to benefit from a shared test automation solution.
- Automate API and backend testing (REST/gRPC)
- Run performance, scalability, and fault tolerance tests
- Integrate tests into CI/CD pipelines
- Collaborate closely with platform, infra, and ML engineers
Must have
- Minimum 8 years in QA Automation
- Strong, practical experience with Python (3+ years)
- Strong, proven experience with Pytest (2+ years)
- Hands on experience with Git (daily usage)
- Hands on experience with Azure DevOps
- Backend & API testing expertise
- Strong SQL and Python for test automation
- Experience with Databricks (2+ years preferred)
- Experience with test automation tools
- Understanding of CI/CD processes
- Familiarity with data warehouses & ETL testing
- Ability to own architecture & drive quality strategy
Nice to have
- Experience in the BSFI domain
- Understanding of the Investment Data Domain
- Familiarity with ServiceNow
- Familiarity with Dynatrace or Datadog
- PySpark experience
- ISTQB or equivalent certification
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