About the Role
Responsibilities
• Conduct data quality assessments
• Design, develop, implement and maintain data quality monitoring systems and provide recommendations for enhancing the overall data quality: Data Profiling, Critical Data Elements identification, Data Quality rule and Data Quality Metrics definition and implementation.
• Design and execute data quality tests, validation rules, and exception-handling processes.
• Establish and maintain data quality metrics and KPIs to monitor and report on data quality performance.
• Monitor, identify, investigate and resolve root causes of data quality issues, collaborating with data analysts and engineers to recommend corrective actions to prevent future issues and to improve data quality processes.
• Stay updated on industry best practices and emerging technologies related to data quality management
Qualifications
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Excellent problem-solving and analytical skills to identify and resolve data quality issues.
• Strong understanding of data governance principles, data management, and data quality best practices.
• Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Mandatory
At least 5 years of experience on the following:
- ETL processes, and data pipeline management using Informatica Cloud or Informatica PowerCenter.
- SQL, stored procedures, and normalization techniques.
- Python, Excel, or any data quality tools to analyze data quality issues.
Desired / Good to have
- Knowledge of SAP Sales & Distribution module will be a plus.
- Experience with Collibra or other data catalog tools will be a plus.
- Additional certifications in data quality management.
Requirements
Responsibilities
• Conduct data quality assessments
• Design, develop, implement and maintain data quality monitoring systems and provide recommendations for enhancing the overall data quality: Data Profiling, Critical Data Elements identification, Data Quality rule and Data Quality Metrics definition and implementation.
• Design and execute data quality tests, validation rules, and exception-handling processes.
• Establish and maintain data quality metrics and KPIs to monitor and report on data quality performance.
• Monitor, identify, investigate and resolve root causes of data quality issues, collaborating with data analysts and engineers to recommend corrective actions to prevent future issues and to improve data quality processes.
• Stay updated on industry best practices and emerging technologies related to data quality management
Qualifications
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Excellent problem-solving and analytical skills to identify and resolve data quality issues.
• Strong understanding of data governance principles, data management, and data quality best practices.
• Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Mandatory
At least 5 years of experience on the following:
- ETL processes, and data pipeline management using Informatica Cloud or Informatica PowerCenter.
- SQL, stored procedures, and normalization techniques.
- Python, Excel, or any data quality tools to analyze data quality issues.
Desired / Good to have
- Knowledge of SAP Sales & Distribution module will be a plus.
- Experience with Collibra or other data catalog tools will be a plus.
- Additional certifications in data quality management.
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.