Lead QA Automation Engineer

Project descriptionWe 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. This role offers the opportunity to work on cutting‑edge technologies in a highly dynamic and collaborative environment. 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.ResponsibilitiesDesign 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. Help stakeholders and developers embrace automation as an integral part of the software development lifecycleAutomate 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 testsIntegrate tests into CI/CD pipelinesCollaborate closely with platform, infra, and ML engineersSKILLSMust haveMinimum 8 years in QA AutomationExperience testing big data or analytics platforms such as DatabricksSolid understanding of PySpark (3y+)Hands‑on experience with Azure DevOpsHands‑on experience with backend and API testing, including REST services, authentication, and data validationExperience with test automation toolsStrong knowledge of SQL and Python for creating test scriptsFamiliarity with data warehouses and ETL tools for quality testingUnderstanding of CI/CD processes and integrationFast learner with the ability to adapt to new technologies and toolsExperience in the BSFI domainStrong architectural ownershipTeam management and developer collaborationQA leadershipNice to haveUnderstanding of the Investment Data DomainFamiliarity with ServiceNow for incident trackingFamiliarity with Dynatrace or Datadog for system observability and monitoringISTQB certification or equivalent testing certification#J-18808-Ljbffr