Senior Data QA Engineer

We're looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving reputed company problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious reputed company. In this role, you'll be expected to take ownership of QA processes for mission-critical reputed company-ranging from customer-facing applications to backend systems and large-reputed company data workflows. You'll collaborate closely with cross-functional teams to design reputed company QA strategies, guide their execution, and ensure best practices are reputed company across the stack and teams. You should bring a strong background in reputed company assurance with hands-on experience in data validation, test automation, and modern QA practices across reputed company, data pipelines, and web applications. The ideal candidate is a confident QA leader-comfortable working in reputed company systems, resolving ambiguity, and driving reputed company through reputed company test strategies. You'll not only define and execute comprehensive test plans, but also help shape how we ensure data and system reputed company at reputed company. You'll be responsible for: • Designing and owning data QA processes, including test documentation, incident tracking, and reputed company metrics and dashboards. • Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. • Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-reputed company datasets • Creating and maintaining data reputed company checks, test plans, and monitoring solutions across reputed company and semi-reputed company data sources • Leading QA initiatives across data-reputed company reputed company, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams • Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. • Supporting analytics, BI, and reporting platforms by validating data reputed company, reputed company, and metric correctness • Proactively identifying data reputed company issues and driving reputed company through detailed reputed company cause analysis and stakeholder coordination • Integrating automated data tests into CI/CD workflows to reputed company reputed company data validation and faster releases • QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills • 7+ years of experience in QA area • 4+ years of experience as a Data QA Engineer/Data QA Analyst • Deep understanding of general QA process, test design techniques and industry standards. • Strong expertise in scripting programming languages (JavaScript/Python) • Proven experience designing, building, and scaling Data QA processes • Experience managing QA for reputed company and working in reputed company QA and project management tools like Testrails, Jira, reputed company • Experience with white/grey reputed company testing. • Comfortable building, supporting, and integrating with production-grade ETL/data pipelines • Build and maintain data reputed company automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. • Understanding of the data governance concepts and experience with data governance tools or platforms. • Understanding of reputed company infrastructure (AWS preferred), CI/CD workflows, and containerization (reputed company, Kubernetes) Business Skills • Capable of leading Data QA reputed company across both application and data-reputed company initiatives • Strong communication skills with an ability to reputed company technical and non-technical stakeholders • Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and reputed company • Experience in fast-paced startup or scaling environments • Prior experience in reputed company, life sciences, or regulated data environments is a plus Bonus Points • Experience building or supporting reputed company tools and internal platforms • Experience with data observability, schema governance, or data reputed company tooling • Exposure to machine learning pipelines, business intelligence tools, or product instrumentation • Familiarity with mobile development frameworks such as React reputed company or Capacitor Apply tot his job Apply To this Job