We are seeking 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. This position offers the opportunity to work on cutting-edge technologies in a highly dynamic and collaborative environment.
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As a key player in test automation, you will drive quality improvement initiatives, work closely with development teams, and contribute to a shift-left approach in our data operations. You'll be at the forefront of ensuring that our data infrastructure supports global investment strategy and mission.
Responsibilities:
- Design and maintain automated test frameworks (unit, integration, end-to-end).
- Lead efforts to promote the test automation framework across teams, driving buy-in from stakeholders by demonstrating its value and ensuring alignment with team goals.
- Help stakeholders and developers embrace automation as an integral part of the software development lifecycle.
- Automate data quality checks for platforms like Data Warehouses (DWH), Data Lake, and Big Data environments.
- Design the test tools as an individual package that can be reused across 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, infrastructure, and ML engineers.
Skills and Qualifications:
Must have:
- Minimum 8 years of experience in QA Automation.
- At least 2 years of experience in testing Databricks.
- Solid understanding of PySpark (3+ years).
- Hands-on experience with Azure DevOps, backend, and API testing (including REST services, authentication, and data validation).
- Strong knowledge of SQL and Python for creating test scripts.
- Familiarity with data warehouses and ETL tools for quality testing.
- Understanding of CI/CD processes and integration.
- Fast learner with the ability to adapt to new technologies and tools.
- Experience in the BFSI domain.
- Strong architectural ownership, team management, and developer collaboration skills.
- QA leadership experience.
Nice to have:
- Understanding of the Investment Data Domain.
- Familiarity with ServiceNow for incident tracking.
- Familiarity with Dynatrace or Datadog for system observability and monitoring.
- ISTQB certification or equivalent testing certification.
Location: Abu Dhabi Emirate, United Arab Emirates
Work Conditions: Hybrid, Full-time
