As a Data Quality Engineer, you will have the chance to tap into your expertise and knowledge to champion data quality by crafting and deploying testing at scale. This role requires a deep understanding of data analysis and engineering, quality assurance methods, and the ability to collaborate with cross-functional teams to identify and resolve data quality issues.

Conduct thorough data profiling and analysis to identify anomalies, inconsistencies, and inaccuracies in datasets
Automate processes, data quality checks, and workflows to ease data validation processes across complex, interdependent data systems
Develop generic quality check frameworks that can be utilized across multiple products
Develop and execute comprehensive data quality testing strategies and plans to verify the implementation of data pipelines and data validations.
Design and implement intuitive metrics that show stake holders the health of their data in an actionable format
Conduct initial root cause analysis for data issues, collaborate with partners to clearly identify the issue, scope and impact, and path for research/solutioning
Create and maintain documentation related to data quality processes and standards

Reporting

Establish monitoring mechanisms to proactively identify data quality issues, and generate regular reports on data quality metrics for review
Collect data quality requirements from key partners, seeking to understand the subjective quality measures that are important to data consumers to build and maintain trust in our data & products

Ideal Candidate Qualifications:

3+ years of experience in the DataQuality/DataModeling/DataEngineering fields
Extensive Python or R experience to develop and maintain data quality scripts, tools, and frameworks.
Expert-level knowledge of SQL for complex data querying and manipulation
Experience with analytical and predictive models
Experience with various ETL transformations and workflows
Experience working in Hadoop big data environments
Strong understanding of data quality concepts, methodologies, and best practices.
Strong collaboration skills and ability to work effectively in a cross-functional, interdependent team environment
Keen sense of prioritization and ability to time
Superior academic record with a degree in a technical field
Strong written and verbal English communication skills