Data Quality Engineer with Security Clearance

1 month ago


Chantilly, United States QinetiQ Full time
Position Overview
We are seeking a Data Quality Engineer who will support the critical functions for mission clients. This individual will evaluate the quality of data received from data sources to assess changes/updates with existing data flows. Responsibilities • Evaluate conditioned data to ensure data is properly mapped and ready for User Acceptance Testing (UAT) • Work with technical support teams and business process owners for investigation and resolution of production quality control failures that affect operations service delivery • Create or update data models to ensure that data is stored in an organized manner • Develop processes and procedures to support the operating quality and efficiency of quality control checks in the production environment • Create and implement plans to improve data quality by identifying causes of errors or discrepancies and determining effective solutions • Work closely with all teams necessary to implement, measure, and improve quality standards for new and existing production functionality • Work with service providers to establish procedures for data collection and analysis • Consult with service providers and customers to determine how new data standards could affect operations • Document data quality issues and recommending solutions to problems Required Qualifications • Active TS/SCI clearance with polygraph required #qinetiqclearedjob • Demonstrated experience providing data support to data engineering, and ETL teams • Experience in SQL testing experience • Ability to work closely with highly technical IT database, development, and infrastructure staff • Experience working with IT development teams, and infrastructure support organizations • Ability to effectively communicate issues in writing and orally at appropriate levels of detail for executive audiences, business stakeholders and technical teams • Experience in supporting processes for the technical and operational architecture of complex enterprise systems Preferred Qualifications • Experience with Python or PySpark Scripting is desired.

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