Data Quality Assurance Specialist
3 weeks ago
About the Role:
We are seeking a skilled Data QA Engineer to join our PowerSIMM team in Boulder, Colorado. As a Data QA Engineer, you will play a crucial role in ensuring the accuracy and reliability of our data.
Key Responsibilities:
- Develop and execute comprehensive tests and scripts to validate our analytics code, data pipelines, and processes.
- Implement and maintain automated testing frameworks to streamline data quality assurance processes.
- Collaborate with data engineers and analysts to review and improve data-related code.
- Document test cases, procedures, and results to ensure a clear record of data validation efforts.
- Work closely with cross-functional teams to understand data requirements and contribute to overall data quality improvements.
Requirements:
- BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field.
- 2+ years of hands-on experience in a similar position.
- Working knowledge of Python, Oracle, Postgres, and/or SQL Server.
- Experience working with relational data and test, verification, validation, and productization of algorithms.
- Ability to thrive in an Agile Scrum environment.
Preferred Qualifications:
- Working knowledge of Oracle, Python, Pandas, and Sas.
- Knowledge of the energy industry, markets, and terminology.
- Experience in a DevOps environment with CI/CD tools.
- Experience working with big data systems like Snowflake, Redshift, OneLake, or other lake/lakehouse architectures.
Compensation and Benefits:
We offer competitive compensation, flexible work hours, and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.
Ascend Analytics is an Equal Employment Opportunity employer.
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