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About the Role We are looking for an experienced QA Lead with a strong background in Data Engineering and ETL testing to lead quality assurance activities for enterprise data platforms. The ideal candidate should have expertise in both manual and automation testing, possess excellent SQL skills for complex data validation, and have prior experience leading QA teams. The role requires regular collaboration with onshore stakeholders, mentoring offshore team members, driving quality initiatives, and proactively managing risks throughout the project lifecycle. Required Skills: 8-10 years of overall IT experience. Minimum 5+ years of experience in Data Engineering / ETL Testing. Strong experience in Manual and Automation Testing. Excellent SQL skills with experience writing complex queries, joins, aggregations, stored procedures, and data validation scripts. Experience validating large datasets and complex ETL/data transformation workflows. Hands-on experience working with enterprise data platforms and technologies such as: Apache Airflow Databricks Profisee (Master Data Management) Strong understanding of QA methodologies, defect lifecycle, and testing best practices. Excellent communication, analytical, and stakeholder management skills. Understand the business requirements and frame test strategy and test cases Reporting status of test execution to required stakeholders in a timely manner. Preferred Skills Experience with Python for automation or data validation. Exposure to Azure services and cloud-based data platforms. Experience working in Agile/Scrum environments. Familiarity with CI/CD pipelines and DevOps practices. Lead and mentor QA engineers to ensure high-quality deliverables. Work closely with onshore counterparts and business stakeholders. Drive ownership, accountability, and quality across the team. Provide regular feedback to team members and support their professional growth. Communicate risks, dependencies, and project status effectively to all stakeholders. Key Responsibilities: Lead the QA team and own end-to-end testing activities for data engineering solutions. Define, review, and execute test strategies, test plans, and test cases. Perform both Manual and Automation Testing across multiple releases. Validate ETL pipelines, data transformations, and business rules. Write and execute complex SQL queries for data validation, reconciliation, and root cause analysis. Collaborate closely with development teams to ensure quality throughout the SDLC. Coordinate regularly with onshore stakeholders and provide clear status updates. Mentor team members, review deliverables, and drive continuous improvement. Proactively identify risks, raise concerns early, and ensure timely resolution. Participate in defect triage, release validation, and production support activities when required. Insurance Career Development Flexible Work hours Learning Opportunities Inclusive and collaborative work culture Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.