✨ 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.

⚠️ 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.

🔹 Skills Desired

-Experience in automation around Data Lake testing.

-Familiarity with BigQuery or Google Cloud Platform (GCP) is a plus.

📌 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.

🌟 What Will You Find?

🔧 Challenging Projects: Work with cutting-edge technologies in cloud environments and data engineering.

🌎 A Collaborative Team: A diverse, remote-first, and multicultural environment.

🌱 Growth Opportunities: A culture of learning and innovation with access to training and career development programs.

🎉 Well-being Focus: A strong emphasis on your emotional and physical health through various programs.

💼 Conditions

📝 Permanent contract – We believe in building long-term relationships!
📍 100% Remote – Work from anywhere in LATAM
🌟 Career Growth – We support your professional journey!

👉 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! 🚀🎉