About the Role:
- Plan, design, develop, and conduct quality assessments of data elements and structures to ensure integrity, completeness, quality, and proper formatting.
- Configure, operate, and develop manual and/or automated methods, processes, and procedures to test data input/output based on compliance, quality, and usage requirements as defined by product management, client specifications, and governance programs.
- Perform regular and ad hoc reviews, audits, and investigations to evaluate data activity and integrity, preparing reports and summaries of findings.
- Develop and update guidelines and documentation for testing processes, procedures, and standards.
About You:
- You have extensive experience in managing key data quality automation tasks, as well as expertise in Data Governance and Quality Assurance.
- You are highly skilled in Python and SQL.
- You have hands-on experience working with data pipelines in cloud environments such as AWS and Databricks.
- You are passionate about data and have led data quality assurance teams, delivering insights from data quality automation or compliance projects.
- You are comfortable collaborating with global teams.
- You have 10+ years of experience in data quality analysis, data warehousing, or cloud-based data environments.
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement