Position: Data engineer (Python)
Company: Data Science UA
Category: Data Engineer
Experience required: 1y
English level: intermediate
Published: 2022-03-01T00:00:00+02:00

Position Overview:
We are looking for Data Engineer to join our growing team of Data Engineers in Ukraine. The team will be responsible for developing plugins/data pipelines for internal company needs, as well as for developing data integration solutions for our clients to support clinical trials (developing new therapies, vaccines, drugs, and medical devices) all over the world. The team will work with our executives, the US-based Data Engineers team, Data Management, and Biometrics departments in order to automate existing semimanual practices working with data and to build new data infrastructure for the international corporation. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Must have:
- Technologies include: Snowflake, Python, SQL and associated ETL concepts
- Understanding of code versioning tools / CICD (Azure DevOps)
- Ability to recognize data patterns
- Knowledge of the SDLC, testing / validation
- Excellent communication skills and problem-solving skills.

Nice to have:
- Good understanding of server-side templating frameworks (code library)
- Basic knowledge of front-end technologies, such as HTML5, JavaScript and CSS3

Responsibilities:
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.