Delivery Centric is seeking an experienced Software Data Tester to ensure the integrity, accuracy, and quality of enterprise data pipelines and platforms. The ideal candidate will bring a strong background in data validation, testing automation, and CI/CD integration within modern cloud-based environments. This role is critical in supporting scalable, test-driven data infrastructure and delivering reliable insights to the business.
Key Responsibilities
- Develop and maintain automated data validation scripts using frameworks such as Pytest and DBT tests
- Conduct end-to-end data quality validation and ETL/ELT testing across diverse datasets and sources
- Integrate data tests into CI/CD pipelines using tools like GitHub Actions or Azure DevOps
- Leverage platforms such as DBT Cloud, Great Expectations, and custom SQL solutions for testing and monitoring
- Collaborate with data engineering teams to validate data models and pipeline transformations
- Utilize orchestration tools (e.g., Airflow, DBT) to schedule and manage test execution
- Troubleshoot test failures and proactively resolve data-related issues
- Contribute to documentation and best practices around data testing standards and frameworks
Qualifications
- 5+ years of experience in data testing, software quality assurance, or a related role
- Proficient in SQL and Python with a strong understanding of database testing techniques
- Hands-on experience with data warehousing platforms such as Snowflake
- Sound knowledge of data modeling concepts including 3NF, Data Vault, and dimensional modeling
- Experience with modern testing tools like DBT, Great Expectations, or Decube
- Familiarity with CI/CD integration and data orchestration tools such as Airflow
- Strong analytical and problem-solving skills with the ability to work across agile teams
At Delivery Centric, we foster a high-performance culture focused on innovation, reliability, and growth. As part of our data practice, you’ll play a pivotal role in ensuring that mission-critical data pipelines operate efficiently and accurately. Join a team that values quality engineering and contributes to building trustworthy data solutions for tomorrow’s enterprise needs.