What are the responsibilities and job description for the Data Quality Assurance Administrator position at QinetiQ US?
Company Overview
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview
We are recruiting for a Data Quality Assurance Engineer who will provide support to the Client's data quality assurance activities, with a particular focus on maintaining and improving the Sponsor’s large-scale entity resolution capabilities.
Responsibilities
- Optimizing large-scale entity resolution capabilities in a complex Big Data environment comprised of many large disparate datasets.
- Examining Oracle data via database applications and SQL to identify incoming data that has violated quality standards such as validity, accuracy, completeness, consistency, or uniformity.
- Identifying and correcting data quality or internal processing issues, and submitting data for reprocessing.
- Recommending automation and process improvements to reduce/eliminate future data quality issues and/or minimize the need for manual intervention.
- Recommending enhanced measures of data quality that can be used to inform the Sponsor’s overall data strategy.
- Maintaining consistent, proactive, and timely communication with Sponsor management and other internal stakeholders, particularly in regards to data quality issues, and events that may impact other mission capabilities.
- Preparing and presenting reports, deliverables, and briefings as required.
- Collaborating with teammates, internal technical teams, vendors, Sponsor management, and analysts to build relationships and achieve objectives.
Required Qualifications
- Active TS/SCI clearance with polygraph required #qinetiqclearedjob
- Significant hands-on experience with data management and/or data quality assessment.
- Hands-on experience using SQL, particularly in performance of database administration, development, ETL, or data performance analysis tasks.
- Familiarity with Oracle databases and Oracle SQL Developer.
- Familiarity with UNIX command line and basic UNIX commands.
Preferred Qualifications
- Familiarity with PostgreSQL databases.
- Familiarity with XML.
Company EEO Statement
Accessibility/Accommodation:
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
