Data Quality Engineer Company Hidden Retail Cincinnati, OH Developer 1 Opening 1

Agility Partners is seeking a skilled Data Quality Engineer to join the team of a leading grocer in the Cincinnati area and play a critical role in ensuring the reliability, accuracy, and consistency of data within their warehouse and manufacturing data platform in the supply chain space.Key Responsibilities:Collaborate with data engineers to understand data pipelines, transformations, and business rules to develop comprehensive test strategies.Design, implement, and maintain test frameworks for validating data quality, completeness, and accuracy across all stages of the data lifecycle.Develop automation test scripts using Python and PySpark to execute test cases against data pipelines and processes.Conduct regression testing to ensure the stability and reliability of data pipelines after code changes or updates.Implement monitoring and alerting mechanisms to proactively identify and address data quality issues in production environments.Work closely with cross-functional teams to define acceptance criteria and ensure that data quality requirements are met.Document test cases, test results, and defects to facilitate collaboration and knowledge sharing within the team.Continuously evaluate and improve testing processes and methodologies to enhance data quality assurance practices.Stay updated on emerging technologies and trends in data quality engineering, and incorporate them into our testing practices as appropriate.Benefits and Perks

Reasons to Love It:If you have experience in an agile environment and a passion for using servant leadership to deliver amazing solutions, apply to be a part of our innovative culture built on the foundation of generations of success.Hybrid work scheduleWorking for an organization that focuses on company culture, inclusion, and diversity50% medical coverage for you and your entire family, short/long term disability, and life insurance options401(k)Life InsuranceThe Ideal Candidate

Qualifications: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.

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