About the Role
The candidate will provide data analysis and management for various COVID Data Dashboard and distribution of COVID data to external entities and the public. The contractor will also perform data management and analytic tasks including researching and documenting technical designs, programming solutions, writing and executing unit test plans, researching, resolving, and testing defects, customer technical support, and close collaboration with other team members.
Responsibilities
- Provide data analysis and management for COVID Data Dashboard.
- Distribute COVID data to external entities and the public.
- Perform data management and analytic tasks.
- Research and document technical designs.
- Develop programming solutions.
- Write and execute unit test plans.
- Research, resolve, and test defects.
- Provide customer technical support.
- Collaborate closely with other team members.
Requirements
- At least a bachelor’s degree in Data Engineering, Computer Science, MIS or equivalent from an accredited institution.
- A copy of the degree must be submitted.
- 6 years of experience with development in medium to large-scale technical projects, assuring deliverables and project scope are met and well documented.
- 6 years of experience with data analytics including processing, reporting, transformation, visualization.
- Candidate must be legally authorized to work in the United States.
Skills
- Python based data analytics projects
- Relational and NoSQL databases (Oracle, Postgres, MongoDB, DynamoDB, etc.)
- Data processing and ETL pipelines
- Cloud native and hybrid applications using serverless platforms
- Data visualizations with large datasets on analytics platforms such as Tableau.
Location
- Menands, NY
Work Type
- Full-time
- Onsite
Experience Level
- 6 years of experience with development in medium to large-scale technical projects
- 6 years of experience with data analytics
- 6 years of experience with Python based data analytics projects
- 6 years of experience with relational and NoSQL databases
- 6 years of experience with developing and maintaining data processing and ETL pipelines
- 6 years of experience with developing cloud native and hybrid applications using serverless platforms
- 6 years of experience in designing and implementing data visualizations with large datasets
Education Level
- Bachelor's degree in Data Engineering, Computer Science, MIS or equivalent
