Data Quality Engineer Opportunity

4 weeks ago


Cincinnati, Ohio, United States Saxon Global Full time
Data Quality Engineer

We are seeking a skilled Data Quality Engineer to play a critical role in ensuring the reliability, accuracy, and consistency of data within our warehouse and manufacturing data platform in the Kroger supply chain space. This role requires a blend of data engineering and testing expertise. The Data Quality Engineer will be responsible for implementing robust test frameworks, writing automation test cases, and collaborating closely with data engineers to validate and verify the functionality of data pipelines and processes.

Key Responsibilities:

Implementing test frameworks and writing automation test cases
Collaborating with data engineers to validate and verify data pipelines and processes
Ensuring data reliability, accuracy, and consistency

Technical Requirements:

Proficiency in data engineering technologies such as Azure Databricks, Synapse Analytics, and SQL Hyperscale
Strong programming skills in Python and PySpark for developing automation test scripts
Experience with building and implementing test frameworks for data-centric applications in Azure cloud environments
Knowledge of data quality assurance methodologies and best practices
Familiarity with version control systems and CI/CD pipelines for automated testing and deployment
Understanding of data modeling, ETL processes, and data warehousing concepts

About Saxon Global:

Saxon Global is a leading provider of data quality solutions. We are committed to delivering high-quality data that meets the needs of our clients. If you are a skilled Data Quality Engineer looking for a challenging role, please submit your application.

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