Data Quality Engineer

Job Description:

Job Role: Data Quality Engineer

Location: Austin, TX OR Fort Mill, SC (Hybrid)

Experience: 10 to 15 Years 

Employment Type: Full-Time (W2 Only)  

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 10 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. 

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Thanks & Best Regards,

Sivaji Katta

Technical Recruiter

Kaav Inc. 3925 75th St, Suite 101 A, Aurora IL – 60504 

Email: sivaji.k@kaavinc.com :: Ph: 847-474-3646 Ext: 107