Address
Form of work
SalaryType of Requisition:
Regular Clearance Level Must Currently Possess:
None Clearance Level Must Be Able to Obtain:
None Suitability:
Public Trust/Other Required:
Other Job Family:
IT Quality Assurance Job Qualifications:
Skills:
Amazon S3, AWS Glue, PL/SQL (Programming Language), Python (Programming Language) Certifications:
Experience:
2 + years of related experience US Citizenship Required:
No Job Description:
GDIT has an opportunity for a Data Quality Analyst, who will be a full-time member of the FPLS IV&V/DQ team, conducting Data Quality analysis Office of Child Support Services’ expanded Federal Parent Locator Service (FPLS). The successful candidate will be capable of applying Data Quality review criteria and producing Data Quality reports describing the criteria used to evaluate the data, problems noted, and recommended solutions for data correction and Data Quality improvement. The data to be reviewed may be maintained on mainframe systems, as well as Internet (Cloud) and PC-based platforms.
*This position is fully remote, must live within commuting distance*
Responsibilities:
- Conduct Data Quality analysis and/or Data Quality reviews
- Write, edit and proofread technical and procedural documents, including reports
- Interface effectively with the customer and peers across the internal, operations, and security teams
- Work independently within a quickly changing environment with project deadlines
- Define and schedule tasks to support multiple projects
Required education/experience for this position:
- BS in Computer Science or Information Systems, plus 2+ years' experience (with at least 1 year specialized Python experience) OR 4 years' of experience in lieu of BS
Required technical skill set for this position:
- 1+ years of experience in Python
- Ability to develop innovative solutions and collaborates on projects and sharing professional experiences (previous and new) to develop innovative solutions
- Knowledge of AWS cloud services e.g., Athena & S3
- Ability to write, edit and proofread technical and procedural documents, including reports
- Working with Industry Standard Life-Cycle Methodologies and Processes, including developing, analyzing and/or reviewing system requirements
- Knowledge of formal and informal Quality Assurance methods such as internal peer reviews and structured walk-throughs
- Experience defining and scheduling tasks to support multiple projects
- Proficiencies:
- Databases, SQL (comfortable with interacting with various dialects of SQL)
- Pandas, PySpark, etc.
Desired Skills and Experience:
- Enjoy continuous learning of new methodologies, technologies through hands-on exploration, review of documentation, and online learning resources
#GDITFedHealthJobs
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Scheduled Weekly Hours:
40 Travel Required:
Less than 10% Telecommuting Options:
Hybrid Work Location:
USA MD Windsor Mill Additional Work Locations:
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
