What are the responsibilities and job description for the Data Quality Engineer position at Glow Networks?
Location Fort Mill, SC / Austin, TX (Hybrid)
Key Responsibilities:
- Design, develop, and implement robust data quality solutions using Informatica PowerCenter and IDQ tools.
- Collaborate with cross-functional teams to gather requirements, understand data quality needs, and ensure seamless integration of quality frameworks.
- Conduct data profiling, cleansing, and standardization to improve overall data accuracy and reliability.
- Develop and execute automated and manual testing frameworks to validate data quality and transformations.
- Monitor and maintain data pipelines and workflows to ensure compliance with organizational and regulatory standards.
- Utilize programming languages like Java, Python, or Groovy to enhance data quality processes.
- Create detailed documentation for data quality processes, frameworks, and testing strategies.
- Work with DevOps tools such as Docker, Jenkins, and Kubernetes for CI/CD pipeline integration.
- Provide ongoing support for data-related issues, troubleshooting and resolving discrepancies efficiently.
Required Qualifications:
- Experience: Minimum 5 years in data quality engineering or a related field, with hands-on experience in Informatica PowerCenter and/or IDQ.
Technical Skills:
- Proficiency in programming languages such as Java, Python, or Groovy.
- Strong understanding of relational (SQL, PostgreSQL, Oracle) and NoSQL (MongoDB) databases.
- Familiarity with RESTful APIs and testing frameworks like Selenium, JUnit, or TestNG.
