Position: Data Engineer
Company: DataArt
Experience required: 3y
English level: intermediate

**Client**
Our Client is one of the leading Reinsurance service providers across the globe.

**Position Overview**
We are seeking an experienced and highly skilled Data Engineer. You will join Modelling Platform Consolidation (MPC) team on the migration of a sophisticated stack of on-premises analytical & modeling services into the AWS cloud.

**Technology Stack**
AWS, AWS Pipeline (CodeBuild, CodeDeploy), Linux, Serverless.

**Requirements**
- Snowflake experience
- Hands-on experience with Spark
- Experience with Databricks
- Extensive experience in Python development
- Detailed knowledge of AWS services in the context of building serverless backend applications that expose secure APIs and utilize parallel computing techniques, messaging, and data volume-intensive workflows
- Hands-on experience with automated deployment of AWS stack to development and production environments
- Experience in analysis and resolution of typical AWS performance bottlenecks
- Solid Linux and scripting background
- Passion for automation, testing, and choosing the best tool for the job
- General problem-solving mentality. The ability to collaborate with different teams on solutions for a variety of different business, code & data-related issues
- Strong communication skills
- Spoken English

**Nice to have**
- Experience with CI/CD workflows supported by GitHub actions
- Experience in developing applications using a Serverless framework
- Prior experience working in the Financial Services/Insurance industry is a plus
- Prior experience working in an Agile/Scrum development environment