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

DataArt was selected as a key technology partner in the realization of the Client's IT modernization roadmap in 2023 and beyond.

**Client**
Our Client is one of the leading Reinsurance service providers across the globe.
DataArt Engineers will join Client's teams to strengthen the tech, process, and quality expertise. This is an early stage of engagement, so the successful candidate will be one of the first team members from the DataArt side. 

**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