Data Quality Tech Lead
5 months ago
The Role
As a Data Quality Tech Lead, your role focuses on ensuring the accuracy, completeness, and reliability of data across the organization. You will lead initiatives to establish and enforce data quality standards, implement data cleansing and validation processes, and monitor data integrity. Collaborating with data stewards, analysts, and IT teams, you will develop and deploy data quality frameworks and tools. Your responsibilities also include designing and executing data quality audits, resolving data anomalies, and continuously improving data management practices to support informed decision-making and operational efficiency within the organization.
**Requirements**:
**Primary skills required**: Data Quality Management: Expertise in establishing and enforcing data quality standards and procedures. Data Profiling and Analysis: Ability to assess and analyze data quality issues and trends. Data Cleansing and Validation: Proficiency in implementing data cleansing and validation processes to ensure data accuracy and consistency. Technical Proficiency: Familiarity with data quality tools and technologies for monitoring and improving data quality. Leadership and Collaboration: Experience in leading technical teams and collaborating effectively with data stewards, analysts, and IT professionals to address data quality challenges and implement data quality initiatives.
About the company
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.
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