Data Quality Engineer

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.