Data Quality Engineer
Austin, TX or Fort Mill, SC (Hybrid)
Fulltime Only
Salary: 115-120k/yr
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.
Familiar with any unit test frameworks
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