Required Skills: Java, Python, or Groovy,SQL, PostgreSQL, Oracle

Job Description

·                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: 

o        Proficiency in programming languages such as Java, Python, or Groovy. 

o        Strong understanding of relational (SQL, PostgreSQL, Oracle) and NoSQL (MongoDB) databases. 

o        Familiarity with RESTful APIs and testing frameworks like Selenium, JUnit, or TestNG.