Overview
On Site
Full Time
Skills
Big data
Mapping
Unstructured data
Lean methodology
Agile
Collaboration
Continuous improvement
Research
Data flow
Acceptance testing
Technical Support
Business process
Service delivery
Organized
Quality control
Data collection
Operations
Data quality
Security clearance
Data
Data engineering
Extract
transform
load
SQL
Testing
Python
PySpark
Scripting
Database
Writing
Analytical skill
Problem solving
Management
SAP BASIS
Policies
Information Technology
Systems engineering
FOCUS
Job Details
Job ID: 2410835
Location: CHANTILLY, VA, US
Date Posted: 2024-08-20
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC is seeking an experienced, results-oriented, mission-driven Data Quality Analyst with specialized focus on data quality analysis, mapping, and testing. We are looking for talented, innovative, and experienced individual to support the effort to increase the speed of data delivery for structured and unstructured data in the support of national security objectives. The ideal candidate will have a solid understanding executing IT systems and supporting transformations utilizing a Lean Agile framework that promotes collaboration, transparency and continuous improvement. This is high visibility program, and we are seeking a results oriented self-starter.
As a Data Quality Analyst you will contribute to a fast-paced team responsible for monitoring and maintaining data quality and conduct data testing. Your work will include responding to urgent data quality issues as they arise as well as proactive analysis to discover and research previously unknown problem areas.
Responsibilities include:
Qualifications
Required Qualifications
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: CHANTILLY, VA, US
Date Posted: 2024-08-20
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC is seeking an experienced, results-oriented, mission-driven Data Quality Analyst with specialized focus on data quality analysis, mapping, and testing. We are looking for talented, innovative, and experienced individual to support the effort to increase the speed of data delivery for structured and unstructured data in the support of national security objectives. The ideal candidate will have a solid understanding executing IT systems and supporting transformations utilizing a Lean Agile framework that promotes collaboration, transparency and continuous improvement. This is high visibility program, and we are seeking a results oriented self-starter.
As a Data Quality Analyst you will contribute to a fast-paced team responsible for monitoring and maintaining data quality and conduct data testing. Your work will include responding to urgent data quality issues as they arise as well as proactive analysis to discover and research previously unknown problem areas.
Responsibilities include:
- Evaluate the quality of data received from data sources to assess changes/updates existing data flows
- Evaluate conditioned data to ensure data is properly mapped and ready for UAT
- Work with necessary 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
Qualifications
Required Qualifications
- Active TS/SCI clearance with Polygraph required
- Minimum 5 years Demonstrated experience providing data support to data engineering, and ETL teams
- Minimum 5 years experience in SQL testing experience
- Python, Pyspark Scripting 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
- Demonstrated ability to perform both routine daily tasks and highly skilled analysis and complex project work
- Experience in supporting processes for the technical and operational architecture of complex enterprise systems
- Highly collaborative individual with ability to build strong professional relationships
- Strong analytical thinking and structured problem-solving ability
- Flexibility and desire to quickly adapt to new methods, situations, and various requirements
- Solid organizational, time & task management skills
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.