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Manual QA Engineer – Data Lake
Are you passionate about ensuring the accuracy, performance, and integration of data lakes? Do you enjoy working with cutting-edge technologies in a dynamic and fast-paced environment? If so, we want you to join our team!
We’re looking for a skilled Manual QA Engineer with strong experience in SQL, Unix commands, data warehouse, and cloud technologies to support our Data Lake testing efforts. The ideal candidate will bring hands-on expertise with AWS or Azure, data warehouse/ETL processes, and integration testing. This is a fantastic opportunity to work on high-impact projects and contribute to a team focused on continuous improvement and innovation.
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Important Note
Candidates must have 5+ years of QA testing experience with data lakes, solid SQL skills, and B2+ English proficiency.
🔹 Essential Qualifications
- Experience: 5+ years in QA testing, with hands-on experience in testing Data Lakes and related integrations.
- Cloud Expertise: Solid experience with Data Lake architecture on AWS or Azure.
- Database Skills: Strong proficiency with SQL for querying, testing, and validating data.
- CI/CD Knowledge: Familiarity with continuous integration tools like Jenkins and Azure DevOps.
- Source Code Management: Proficiency in version control systems like GIT.
- Software Development Life Cycle: A strong understanding of the SDLC, especially in data-driven environments.
- Problem Solving: Strong analytical skills with the ability to troubleshoot and resolve issues effectively.
- Organizational Skills: Excellent time management and attention to detail.
- Self-Development: A passion for staying up-to-date with the latest trends in technology and QA best practices.
- Accuracy: High attention to detail, ensuring data integrity and correctness in all testing scenarios.
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Skills Desired
- Experience in automation around Data Lake testing.
- Familiarity with BigQuery or Google Cloud Platform (GCP) is a plus.
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Key Responsibilities
- Conduct thorough manual QA testing of data lakes, ensuring seamless data integration and processing across platforms.
- Develop and execute SQL queries for testing data accuracy, integrity, and performance.
- Collaborate with developers to test data flows in Data Lake environments and validate ETL processes.
- Participate in automation efforts around Data Lake testing and contribute to improving testing efficiency.
- Work with the team to integrate testing into CI/CD pipelines using Jenkins or Azure DevOps.
- Identify, track, and manage defects through effective reporting and documentation.
- Ensure high standards of data quality and accuracy across systems.
- Continuously improve testing strategies, processes, and frameworks.
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What Will You Find?
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Challenging Projects: Work with cutting-edge technologies in cloud environments and data engineering.
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A Collaborative Team: A diverse, remote-first, and multicultural environment.
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Growth Opportunities: A culture of learning and innovation with access to training and career development programs.
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Well-being Focus: A strong emphasis on your emotional and physical health through various programs.
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Conditions
📝 Permanent contract – We believe in building long-term relationships!
📍 100% Remote – Work from anywhere in LATAM
🌟 Career Growth – We support your professional journey!
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APPLY NOW and be part of a team where your expertise will make a real impact in the world of data lakes and cloud technology! 🚀🎉
