Bachelor's degree in a related discipline and 8 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and up to 5 years' experience; or 14 years' experience in a related field
Strong programming skills and ability to utilize a variety of data/analytic/software languages and tools. (ex: Python, SQL, Docker, Java, etc.)
Experience with analytics application design and development.
Good communication skills. The ability to comprehend and communicate advanced technical topics to non-technical business partners.
Experience with source code version control software, like Git or Bitbucket, and CICD pipelines like Jenkins.
Experience implementing large-scale, high data or user volume solutions in cloud platforms such as Google, Microsoft, or Amazon.
Preferred
Degree in computer science, engineering or closely related field.
Knowledge and experience with AWS Services including Lambda, Step function, CloudWatch, EventBridge, EC2, EMR, RedShift, SQS, RDS, IAM, API Gateway.
Experience within the telecommunications industry, cable industry or consulting.
Experience with data visualization solutions and data visualization tools.
Experience with microservice development (Docker, Kubernetes , etc.).
Experience in automated test design and implementation
Experience in data store selection for large-scale applications (high data volume and/or high read/write)