Lead QA Automation Engineer

Project description We are looking for a 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. 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. 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 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 Skills Must have Minimum 8 years in QA Automation. Experience testing big data or analytics platforms such as Databricks Solid understanding of PySpark (3y+) Hands-on experience with Azure DevOps Hands-on experience with backend and API testing, including REST services, authentication, and data validation Experience with test automation tools 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 BSFI domain. Strong architectural ownership, Team management and developer collaboration, QA leadership. 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. Other Languages English: C1 Advanced Seniority Lead