DATA QUALITY DEVELOPER

Data Quality DeveloperResearch, design, develop, and implement AI solutions for data quality including data mastering. Provide technical leadership to a data quality team. Work with stakeholders to understand data quality issues. Develop long-term technical solutions to address data quality issues. Present and explain data quality standards and best practices to stakeholders. Develop data quality validations and rules using programming languages and Data Quality tools. Retrieve data from large databases and manage data for analysis. Review ETL code and provide critical feedback on issues of data integrity. Apply statistical and machine learning techniques to large-scale data. Develop and enhance Web application tools related to data mastering solutions. Evaluate and document technical work and processes. Communicate and present processes and analysis results to stakeholders. Work with other teams for integration of work flows and processes.Advanced degree in data science, statistics, computer science, or similar. Experience with Python. 5+ years of experience with SQL. 7+ years of experience with Java. Experience performing data extraction and manipulation using programming languages. Experience developing web applications including JavaScript. Experience with statistical modeling and machine learning. Experience handling large volumes of data. Experience developing and managing data quality rules and validations. Experience with designing and developing data visualization and analytical solutions.Knowledge of data warehousing concepts. Knowledge of Linux and shell scripting. Knowledge of Cloud architecture and networking. Strong writing and communication skills. Ability to work cross-functionally with multiple teams.