Vacancy caducado!
- Experience with cloud architectures and large data processing (preferably AWS environments working with Spark, Kafka, etc)
- Experience with SaaS analytics platforms - comfortable architecting robust SaaS solutions. Bonus points if projects are related to pharma or healthcare
- Excellent communication and interpersonal skills; ability to engage and speak directly with clients to assist in implementations
- Strong Python microservices experience
- Expertise with Spark and related components - comfortable integrating cloud and big data ecosystems into cloud environments (AWS, Azure and Google Cloud Platform)
- Experience in Healthcare or Pharma setting working on SaaS products
- Experience with Real World Data (RWD) or Real World Evidence (RWE)
- BS in Computer Science or related field
- Evaluate and make recommendations on architecture and scalability of SaaS product
- Design and implement architecture
- Occasionally get your hands dirty in the code working with alongside our developers
- Serve as a SME for our product and other Big Data technologies