Title: Data Quality engineer Data & Automation
Location: Charlotte, NC | Dallas, TX | Chandler, AZ (Hybrid 3 days onsite /2 days remote)
This technical role is focused on ensuring the integrity and accuracy of data across visualization dashboards, ETL processes, and automation solutions.
As a Data Quality engineer Data & Automation , you will -
- Perform comprehensive data quality assurance testing on dashboards and reporting tools.
- Validate ETL (Extract, Transform, Load) processes to ensure data consistency and accuracy.
- Collaborate with data engineers, developers, and business analysts to identify and resolve data quality issues.
- Develop and execute test plans, test cases, and test scripts for automation and data validation.
- Support the implementation of automation solutions to streamline QA processes.
- Document QA findings and provide actionable feedback to development teams.
- Participate in Agile development cycles and contribute to continuous improvement initiatives.
An ideal candidate should have-
- Experience in data quality assurance, data validation, or a related technical QA role.
- Understanding of ETL processes and data pipelines.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Proficiency in SQL for data analysis and validation.
- Familiarity with automation frameworks and scripting languages (e.g., Python, Shell).
- Experience working in financial services or regulated environments.
- Knowledge of data governance and compliance standards.
- Familiarity with Agile methodologies and tools (e.g., Jira, Confluence).