QA Engineer - Data Engineering - Remote

Overview

We are seeking a skilled and detail-oriented QA Engineer to join our Data Engineering team. The ideal candidate will have a strong background in automation, Python, and SQL queries. Familiarity with ElasticSearch, Node.js, and cloud platforms such as AWS will be considered a significant advantage. The QA Engineer will be responsible for ensuring the highest quality standards for our data pipelines, integrations, and processing workflows while collaborating with developers and data engineers.

In Short

• Develop and implement automated test scripts for data engineering workflows and services.
• Collaborate with developers to design, build, and maintain automated testing frameworks.
• Perform comprehensive testing of data pipelines, data transformations, and ETL processes.
• Write and execute SQL queries to verify data accuracy and integrity in databases.
• Validate large-scale data processing and storage systems, ensuring high availability, reliability, and scalability.
• Conduct performance testing and monitor the performance of data processes, identifying bottlenecks.
• Identify, track, and report defects, ensuring they are resolved in a timely manner.
• Ensure that data delivered by the system meets quality and performance standards.
• Collaborate with cross-functional teams to develop test plans, cases, and environments.
• Continuously improve testing practices and workflows to maintain a high level of testing coverage and effectiveness.

Requirements

• Proven experience in a QA role with a focus on data engineering or similar fields.
• Strong experience in automation testing, particularly for data-driven applications.
• Strong proficiency in Python for test automation and scripting.
• Solid knowledge of SQL for creating, running, and validating database queries.
• Familiarity with ElasticSearch is a significant advantage.
• Proficiency in Node.js is a plus.
• Familiarity with cloud platforms, particularly AWS, for managing cloud resources and services.
• Hands-on experience with testing frameworks like Selenium, Pytest, or other similar tools.
• Experience with continuous integration/continuous deployment (CI/CD) pipelines and version control systems (e.g., Git).
• Strong problem-solving skills with the ability to think critically and strategically.

Benefits

• Flexibility and a culture built on trust.
• Opportunities for personal and professional development.
• A welcoming and safe workplace that values diversity.
• Tools and resources to protect customers while they play.
• Investment in your future to help you develop your unique strengths.