Vacancy expired!
Remote Opportunity!Qualifications:
- Bachelor's degree in computer science or related field OR equivalent experience
- 5 years of software development experience
- Demonstrated proficiency with most or all of the following:
- Python
- RStudio Server; hosting R Shiny dashboards
- Docker
- AWS services: Redshift, EC2, AMIs, SageMaker, Glue, Athena, DynamoDB, Lambda, Kinesis
- Databases (SQL, NoSQL, column-family, etc.)
- REST APIs
- Git or other VCS
- Java
- Node
- Agile development methodologies Scrum and Kanban
- Modern design and architectural patterns, such as microservices, serverless architecture, and single responsibility principle
- Development tools like Jira and Confluence
- Spark or Hadoop
- Proven ability to write clean, readable, and well designed and maintainable code
- Adaptability to new technologies and situations
- Ability to communicate and collaborate cross-functionally, and work well with a team-oriented environment
- Strong work ethic and impeccable attention to detail
- Must be able to work in an office setting, including verbally communicating, seeing, and hearing to exchange information and fine coordination, including use of a computer keyboard
- Must be able to stand, sit, and walk for prolonged periods of time and occasionally stooping, bending, kneeling, crouching, reaching, and twisting
- May engage in lifting, carrying, pushing, and pulling light to moderate amounts of weight up to 25 pounds
- Must be able to operate office equipment requiring repetitive hand movement
- Master's degree in computer science, or related field or 7 years of relevant experience
- Create and maintain high-quality business critical datasets
- Build, maintain, scale, and optimize data ETL processes which enable analytics and insights
- Explore and evaluate new data sources for application use cases as they become available
- Create reliable automated data solutions based on the identification, collection, and evaluation of business requirements
- Manage the development of unique innovative analyses and methodologies
- Design, code, unit test, and deploy data processes for ingestion, transformation, or curation of data while keeping data security and privacy forefront
- Architect and maintain data environments to meet all levels of business intelligence and analytic requirements
- Create complex, efficient SQL queries for robust data pipelines
- Actively participate in requirements and design meetings
- Work closely with the data science team, ideally bringing a good knowledge of data modeling and analytics methodologies
- Enjoy a healthy technical debate but know how to collaboratively solve problems that move everyone forward
- Communicate well in-person, over email, and via instant messaging both within the team and with other development teams
- Work efficiently and collaboratively in an Agile (Scrum or Kanban) team environment