Software Engineer Research Data and Analytics

Basic Qualifications:

• Proficient in General Purpose High Level Language (e.g. NodeJS/Koa, Python, Java, C#.NET)
• Proficient in Javascript UI Framework (e.g. React or ExtJs)
• Proficient in SQL (e.g. Oracle, PostGres or Databricks)
• Experience in automated testing tools and frameworks (e.g. Jest, Playwright, Cypress or Selenium)

Preferred Qualifications:

• Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)
• Working experience with DevOps practices and CI/CD pipelines
• Experience with big data technologies (e.g., Spark, Databricks)
• Experienced with API integration, serverless, microservices architecture
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
• Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation)
• Experience with version control systems like Git
• Strong understanding of software development methodologies, mainly Agile and Scrum
• Strong problem solving, analytical skills; Ability to learn quickly & work independently; Excellent communication and interpersonal skills