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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. 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 Mandatory Skills Description: Minimum 8 years in QA Automation Strong, practical experience with Python (3+ years): - Ability to write clean, maintainable automation code - Ability to manage and extend automation frameworks - Not just scripting — actual engineering level proficiency Strong, proven experience with Pytest (2+ years): - Fixtures, parametrization, markers - Test suite structuring - Framework development & maintenance Hands on experience with Git (daily usage): - Branching strategies, PR workflows, code reviews Hands on experience with Azure DevOps: - Pipelines, repos, boards, test plans Backend & API testing expertise: - REST services, authentication, data validation - Ability to design and automate API tests Strong SQL and Python for test automation: - Writing complex queries - Data validation across ETL pipelines Experience with Databricks (2+ years): - Not just reading notebooks — actual testing experience Experience with test automation tools: - Building, maintaining, and scaling frameworks Understanding of CI/CD processes: - Ability to integrate tests into pipelines Familiarity with data warehouses & ETL testing Ability to own architecture & drive quality strategy Experience collaborating with developers Able to influence, challenge, and guide engineering teams QA leadership experience Leading initiatives, mentoring, driving standards Fast learner, adaptable to new tools & technologies
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.