What you'll do:

• Design, develop, and maintain automated test frameworks for data pipelines, ETL processes, and data products.
• Ensure data quality, consistency, and reliability across multiple systems and environments.
• Collaborate with data engineers and developers to understand data workflows, design test cases, and implement testing solutions.
• Develop and execute test plans, test cases, and test scripts for data validation, transformation, and loading processes.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for automated testing.
• Monitor and analyze test results, identify issues, and work with the engineering team to resolve them.
• Provide expertise in data testing methodologies, tools, and best practices.
• Mentor and guide junior team members on testing best practices and automation techniques.
• Foster a culture of learning and excellence within the team and across the organization.

What makes you a great fit:

• 5+ years of experience in software development and/or test automation, with a focus on data engineering and data platforms.
• Strong experience in developing automated tests for data pipelines, ETL processes, and data products.
• Proficiency in programming languages such as SQL and Python.
• Hands-on experience with test automation tools and frameworks such as Selenium, JUnit, TestNG, or similar.
• In-depth knowledge of AWS services and cloud-based data solutions (e.g., S3, EMR, Glue, Redshift).
• Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, Terraform).
• Strong understanding of data modeling concepts (e.g., Kimball, Inmon, Data Vault) and data mesh principles.
• Excellent problem-solving skills and the ability to provide solutions for complex business problems.
• Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
• Passion for continuous learning and improvement, both for yourself and others in the organization.
• Self starter - this is a key role where the successful candidate will navigate priorities and drive for solutions and resolutions which align with the broader technical architecture and team
• Commitment to fostering a diverse and inclusive work environment.