Degree in Computer Science, Information Systems, or equivalent education or work experience.
3+ Years experience with AWS or similar technologies (S3, Redshift, RDS, EMR).
3+ Years strong abilities with SQL and Python.
Experience building test automation suites for test and production environments.
Experience using APIs for data extraction and updating.
Experience with Git and version control.
Responsibilities:
Develop and maintain data quality and accuracy dashboards, and scorecards to track data quality and model performance.
Develop, maintain, and enhance a comprehensive data quality framework that defines data standards, quality and accuracy expectations, and validation processes.
Enhance data quality through rapid testing, feedback, and insights.
Partner with Engineering & Product to predict data quality issues and production flaws.
Conceptualize data architecture (visually) and implement practically into logical structures.
Perform testing of data after ingesting and database loading.
Manage internal SLAs for data quality and frequency.
Provide expert support for solving complex problems of data integration across multiple data sets.
Update and evolve data ecosystem to streamline processes for maximum efficiency.