Computer Science, Data Analysis, Data Processing, Data Sets, Data Visualization, Database Extract Transform and Load (ETL), Hybrid Cloud, Management of Information Systems/Technology (MIS), MongoDB, NoSQL, Oracle, PostgreSQL, Python Programming/Scripting Language, Relational Databases (RDBMS), Tableau
Mandatory Qualifications:
- This position requires 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 with the Candidate Proposal Response.
- 6 years' experience with development in medium to large-scale technical projects and assuring deliverables and project scope are met and well documented
- 6 years' experience with data analytics including processing, reporting, transformation, visualization.
- Candidate must be legally authorized to work in the United States.
Preferred Qualifications
- 6 years' experience with Python based data analytics projects
- 6 years' experience with relational and NoSQL databases (like Oracle, Postgres, MongoDB, DynamoDB, etc) containing large amounts of data (greater than 10 million rows)
- 6 years' experience with developing and maintaining data processing and ETL pipelines
- 6 years' experience with developing cloud native and hybrid applications using serverless platforms
- 6 years' experience in designing and implementing data visualizations with large datasets (1 million+ records) on analytics platforms such as Tableau