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Design, develop, and implement robust data quality solutions using Informatica Power Center and IDQ tools.
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Collaborate with cross-functional teams to gather requirements, understand data quality needs, and ensure seamless integration of quality frameworks.
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Conduct data profiling, cleansing, and standardization to improve overall data accuracy and reliability.
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Develop and execute automated and manual testing frameworks to validate data quality and transformations.
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Monitor and maintain data pipelines and workflows to ensure compliance with organizational and regulatory standards.
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Utilize programming languages like Java, Python, or Groovy to enhance data quality processes.
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Create detailed documentation for data quality processes, frameworks, and testing strategies.
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Work with DevOps tools such as Docker, Jenkins, and Kubernetes for CI/CD pipeline integration.
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Provide ongoing support for data-related issues, troubleshooting and resolving discrepancies efficiently.