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Work Mode: 100% On-site Employment Type: Full-time About the Role We are looking for a Senior QA Engineer with strong experience in reporting, analytics, and data validation to ensure the quality, accuracy, performance, and reliability of reporting systems and analytics platforms. This role will focus on testing reporting dashboards, data warehouses, ETL processes, data pipelines, and analytics tools , combining manual and automated testing practices with strong data-quality validation. Requisitos Bachelor’s degree in Computer Science, Information Systems, or a related field . 6+ years of Quality Assurance experience , preferably focused on reporting and analytics systems. Strong experience testing reporting solutions within data warehouse environments such as Snowflake . Knowledge of data modeling, ETL processes, and data pipeline testing . Experience with performance testing involving large datasets . Strong analytical, troubleshooting, and problem-solving skills with excellent attention to detail. Understanding of Agile and DevOps methodologies . Excellent communication and cross-functional collaboration skills. Nice to Have Strong knowledge of SQL and experience querying relational databases. Previous experience working within an Agile/Scrum software development team . Responsibilities Design, develop, execute, and automate test plans and test cases for reporting dashboards, analytics tools, data pipelines, and related systems. Validate data accuracy, integrity, and consistency across multiple data sources, ETL processes, data warehouses, and visualization tools. Perform functional, regression, integration, and performance testing , including testing with large datasets. Collaborate with Product Managers, Data Engineers, and Software Developers to define and maintain quality standards for reporting and analytics products. Identify, document, track, and help resolve defects using QA and defect-management tools. Analyze test results and provide actionable recommendations to improve system reliability, data quality, and user experience . Validate that reporting solutions meet business requirements and expected data behavior. Ensure testing practices follow industry standards and best practices for data security and quality . Contribute to QA activities within Agile, Scrum, and DevOps environments .
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.