QA Engineer

🔥 16 hours ago

🌐 Mexico, United States, +2 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 20%

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Logo of SunnyData

SunnyData

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Understand requirements and translate them into test plans and test cases, ensuring requirements traceability • Execute test cases, including regression testing, and document results and testing progress • Document, track, and validate software defect resolution with Engineering • Work with business stakeholders to clarify requirements and testing-related questions • Collaborate with engineers to investigate defects and determine appropriate solutions • Validate data across applications, APIs, databases, and data pipelines for accuracy, consistency, and integrity • Establish and document testing processes, standards, and best practices • Contribute to continuous improvement of testing processes and data quality • Leverage AI tools to improve automation efficiency, data validation, and test coverage • Collaborate with Engineering and Data teams to ensure high-quality software and reliable data

🎯 Requirements

• 4+ years of experience in Quality Assurance • Hands-on experience with test automation using Playwright and/or Cypress • Strong SQL skills and experience validating data in databases • Experience testing APIs and data-driven applications • Understanding of data quality, consistency, and integrity • Experience with GitHub and CI/CD pipelines • Strong analytical and problem-solving skills • Strong attention to detail and ability to document, troubleshoot, and communicate defects and test results • Strong organizational skills and ability to manage multiple testing initiatives • Proactive mindset and ability to improve automation, test coverage, and efficiency • Strong written and verbal communication skills • Interest and experience in leveraging AI tools to improve automation efficiency, data validation, and test coverage • Ability to work collaboratively in a fast-paced environment • Bachelor’s Degree in Computer Science, Systems Engineering, Information Technology, Software Engineering, or a related technical field

🏖️ Benefits

• Opportunities for professional development and career advancement • Innovative environment with cutting-edge technologies and industry leaders in data engineering and AI • Customer impact through work on strategic data decision-making • Collaborative culture valuing collaboration and knowledge sharing • Remote work arrangement

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