Data Quality Engineer

Key Responsibilities:
Design, develop, and implement robust data quality solutions usingInformatica PowerCenter and IDQ tools.
Collaborate with cross-functional teams to gather requirements,understand data quality needs, and ensure seamless integration ofquality frameworks.
Conduct data profiling, cleansing, and standardization to improveoverall data accuracy and reliability.
Develop and execute automated and manual testing frameworks to validatedata quality and transformations.
Monitor and maintain data pipelines and workflows to ensure compliancewith organizational and regulatory standards.
Utilize programming languages like Java, Python, or Groovy to enhancedata 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/CDpipeline integration.
Provide ongoing support for data-related issues, troubleshooting andresolving discrepancies efficiently.Required Qualifications:
Experience: Minimum 5+ years in data quality engineering or a relatedfield, 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.
Job Types: Full-time, Contract
Pay: Up to $120,000.00 per year
Work Location: Hybrid remote in TX 78717, United States