DATA PROGRAMMING ENGINEER AND QA AUTOMATION @ 10PEARLS
This position seeks a highly skilled professional to join 10Pearls as a Data Programming Engineer and QA Automation specialist. The successful candidate will play a critical role in developing robust data solutions and ensuring the quality and reliability of software products through comprehensive automation testing strategies. This is a 100% remote opportunity, allowing candidates to work from anywhere within Latin America (LATAM).
The role combines technical data engineering expertise with quality assurance practices, requiring proficiency in programming, database management, and designing automated test frameworks. The environment is collaborative and fast-paced, offering significant growth opportunities for professionals dedicated to high-quality output and continuous learning. Compensation is USD-based, reflecting the international nature of the role and the high value placed on technical proficiency. Applicants are requested to include their WhatsApp number and country code when applying.
The role combines technical data engineering expertise with quality assurance practices, requiring proficiency in programming, database management, and designing automated test frameworks. The environment is collaborative and fast-paced, offering significant growth opportunities for professionals dedicated to high-quality output and continuous learning. Compensation is USD-based, reflecting the international nature of the role and the high value placed on technical proficiency. Applicants are requested to include their WhatsApp number and country code when applying.
Key Requirements
Expertise in data structure design and programming languages relevant to data processing (e.g., Python, Scala).
Proven experience in designing and implementing automated testing frameworks (e.g., Selenium, Cypress, Playwright).
Strong knowledge of Quality Assurance methodologies and testing principles (unit, integration, end-to-end testing).
Proficiency in SQL and experience working with relational and NoSQL databases.
Ability to develop, maintain, and optimize ETL/ELT pipelines.
Experience with cloud platforms (AWS, Azure, or GCP) for data processing and storage.
Excellent problem-solving skills and attention to detail in identifying software defects.
Knowledge of version control systems, particularly Git.
Familiarity with CI/CD pipelines for automated deployment and testing.
Must be located in Latin America (LATAM) to align with remote work policy.