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Data Quality Engineer
2 months ago
We are seeking a highly skilled Data Quality Engineer to join our team. As a Data Quality Engineer, you will be responsible for developing and implementing procedures to enhance the accuracy and integrity of our organization's data.
The Team:You will be part of a team that specializes in data quality and is responsible for analyzing and monitoring the quality of data input by the organization or any automations.
The Impact:The Data Quality Engineer will analyze complex data, collaborate with engineering groups, develop techniques and workflows for testing, report findings, and set service level standards for data quality.
Responsibilities:- Develop and implement an enterprise-wide Data Quality (DQ) strategy by working with business and technology teams to ensure alignment and dedication to objectives.
- Conduct data quality analysis and discovery efforts, resolve data integrity and data quality issues for major initiatives, and ensure timely and high-quality delivery.
- Ensure the quality, accuracy, and consistency of data by developing and implementing data quality standards, policies, and procedures.
- Support efforts to cleanse and enrich data sets, including duplication, standardization, and data augmentation where necessary.
- Perform queries to identify dirty data, orphaned data, coding issues, and data exceptions.
- Report on high-level data analysis findings to management to inform business decisions and prioritize information system needs.
- Maintain data quality testing libraries.
- Bachelor's degree in statistics, mathematics, computer science, information management, or similar.
- At least 5 years of experience in data quality assurance, data analysis, or a related role.
- Proficiency in programming languages: Java and/or C#.
- Exposure working with various database technologies (e.g., MS SQL Server, PostgreSQL, MongoDB, etc.) and methodologies (Relational, NoSQL/XML/JSON, etc.).
- Extensive experience with MS Excel, Power Query, and VBScript.
- Exceptional analytical skills and communication skills.
- Experience working with Tableau and Power BI for data exploration is a plus.
- ETL tools knowledge is a plus.
S&P Global is a leading provider of essential intelligence for businesses and governments worldwide. We help our customers make informed decisions by providing them with critical insights and data-driven solutions.
Benefits:We offer a comprehensive benefits package, including health and wellness programs, flexible downtime, continuous learning opportunities, and a competitive compensation package.
Equal Opportunity Employer:S&P Global is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that values and respects the contributions of all employees.