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About the Role
Responsibilities
• Gathers and structures information about DQ check from various sources
• Manage the DQ check portfolio and facilitate its reusability across the data community
• Collects and interprets data related to DQ issue management
• Develop and implement data quality solutions using Informatica Data Quality (IDQ) on IICS.
• Design and execute data profiling, cleansing, and validation processes.
• Collaborate with cross-functional teams to analyze, troubleshoot, and resolve data quality issues.
• Create and maintain data quality rules, mappings, transformations, and workflows.
• Conduct data quality assessments and implement best practices.
As Part of the overall Data Quality Team:
• Support the Data Quality virtuous circle deployment within the agile development teams building global re-usable data object in order to facilitate the completion of the data quality deliverables
• Participate in the definition and verification of best practice in the implementation of DQ Checks
Qualifications - External
Required qualifications and skills:
• Engineering Graduate or Master of Computer Applications (MCA)
• Experience in reporting packages and in analyzing large datasets
• Ability to write comprehensive report
• Hands on experience on SQL
• 2 to 4 years of Experience & Proficiency in Informatica Data Quality (IDQ) and IICS.
• Strong knowledge of data quality concepts, tools, and methodologies.
• Experience in data profiling, cleansing, and validation.
• Experience with Quality process or Data management
• Knowledge of architecture and operating models design
• Strong verbal and written communication skills
Requirements
Responsibilities
• Gathers and structures information about DQ check from various sources
• Manage the DQ check portfolio and facilitate its reusability across the data community
• Collects and interprets data related to DQ issue management
• Develop and implement data quality solutions using Informatica Data Quality (IDQ) on IICS.
• Design and execute data profiling, cleansing, and validation processes.
• Collaborate with cross-functional teams to analyze, troubleshoot, and resolve data quality issues.
• Create and maintain data quality rules, mappings, transformations, and workflows.
• Conduct data quality assessments and implement best practices.
As Part of the overall Data Quality Team:
• Support the Data Quality virtuous circle deployment within the agile development teams building global re-usable data object in order to facilitate the completion of the data quality deliverables
• Participate in the definition and verification of best practice in the implementation of DQ Checks
Qualifications - External
Required qualifications and skills:
• Engineering Graduate or Master of Computer Applications (MCA)
• Experience in reporting packages and in analyzing large datasets
• Ability to write comprehensive report
• Hands on experience on SQL
• 2 to 4 years of Experience & Proficiency in Informatica Data Quality (IDQ) and IICS.
• Strong knowledge of data quality concepts, tools, and methodologies.
• Experience in data profiling, cleansing, and validation.
• Experience with Quality process or Data management
• Knowledge of architecture and operating models design
• Strong verbal and written communication skills
About the Company
Cigres Technologies Private Limited is a technology consulting and services company that focuses on helping clients resolve their significant digital problems and enabling radical digital transformation using multiple technologies on premise or in the cloud. The company was founded with the goal of leveraging cutting-edge technology to deliver innovative solutions to clients across various industries.