Overview
Skills
Job Details
Work Mode: Telework
Respond by: 10/18/24
Rate: DOE
Type: Contract
Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number)
Preference will be given to candidates who meet all preferred skills and have public sector experience
Background Check will be performed if a candidate is selected for placement and will have to be passed'
Job Description:
This individual must be able to work in a heavily technical environment, preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming, analyzing, and leveraging our data assets to drive strategic initiatives and business outcomes.
You must be comfortable analyzing data, developing predictive modeling algorithms, and can communicate your findings through visualizations enabling the discovery of solutions to business problems.
As a Data Scientist your role will be impactful, visible, and rewarding.
Responsibilities will include:
- Data Conversion and Reporting Support for System Modernization Efforts
- Data Transformation and Integration: Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R.
- Develop Federal and State Reports: Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance.
- Scrum Team Collaboration: Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions.
- Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality.
- Problem Examination and Resolution: Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement.
- Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results.
The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.
II. CANDIDATE SKILLS AND QUALIFICATIONS
| Minimum Requirements: | ||
| Years | Required/Preferred | Experience |
| 4 | Required | Proven experience in data conversion and report building using Snowflake and SAS Viya. |
| 4 | Required | Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. |
| 4 | Required | Experience working with data analytics and business intelligence tools. |
| 4 | Required | Experience working in a Scrum or Agile development environment. |
| 4 | Required | Proficiency in ETL processes and tools such as AWS Glue and Lambda. |
| 4 | Required | Strong knowledge of database management and data warehousing concepts. |
| 4 | Required | Expertise in SQL for data querying and manipulation. |
| 4 | Required | Proven experience in data conversion and report building using Snowflake and SAS Viya. |
| 4 | Required | Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. |
| 4 | Required | Experience working with data analytics and business intelligence tools. |
| 4 | Required | Experience working in a Scrum or Agile development environment. |
| 4 | Required | Proficiency in ETL processes and tools such as AWS Glue and Lambda. |
III. TERMS OF SERVICE
Services are expected to start 11/12/2024 and are expected to complete by 08/31/2025. Total estimated hours per Candidate shall not exceed 1000 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.