Data Quality Engineer

Responsibilities Design and implement effective data quality control processes to ensure high-quality data. Develop and maintain databases and systems to track and manage data quality metrics. Collaborate with cross-functional teams to identify and resolve data quality issues. Analyze complex data sets to identify trends and patterns, and develop strategies to improve data quality. Implement automated testing scripts to validate data quality and integrity. Develop and maintain documentation of data quality procedures and protocols. Requirements Strong understanding of data quality principles and methodologies. Experience with data management tools and technologies, such as SQL and Excel. Excellent analytical and problem-solving skills, with attention to detail. Strong communication and collaboration skills, with the ability to work effectively with stakeholders. Ability to design and implement effective data quality control processes. Strong knowledge of data analysis and reporting tools, such as Tableau and Power BI. .