Senior Data Governance & Quality Engineer

Data Quality Framework:

• Develop and maintain scalable data quality solutions utilizing Databricks and Apache Spark, primarily leveraging PySpark.
• Systematically monitor, validate, and enhance data accuracy and consistency throughout all systems.
• Ensure ongoing data integrity.

Governance & Compliance:

• Align with stakeholder needs related to data quality, access controls, compliance, privacy, and security.
• Conduct periodic audits to ensure ongoing data integrity.
• Partner with data engineers, architects, product teams, and analysts to define data quality requirements.

Technical Expertise:

• Apply strong understanding of data models to evaluate and improve data structures and flows.
• Utilize BI and reporting tools such as Power BI and Tableau.
• Ensure all initiatives are broken into manageable components.