Position: Data Engineer
Company: Star
Category: Data Engineer
Experience required: 3y
English level: upper

We are working on a group of web-based products that will improve and optimize business processes, reduce time spent on daily duties, and provide our client with a system to manage activities and control the results. It’s a great opportunity to work in a cross-functional, product-driven team to fuel the AdTech industry.

In this role, you will be working in the team that develops a solution for making informed budget reallocation decisions. It is to be supported by mathematical models, algorithms, and machine learning mechanisms that help reallocate the budget towards the best-performing channels and campaigns.

**Qualification and experience**
- 2 years+ commercial experience with Python (Jupyter, pandas, numpy);
- Experience building ETL data pipelines;
- SQL knowledge;
- Hands on experience with DW platforms (Redshift, Snowflake);
- AWS experience: S3, SQS, EC2, IAM;
- Strong mathematical and statistical skills;
- Algorithmic skills;
- A master’s or bachelor’s degree in computer science or similar.

**Would be a plus**
- Docker/Kubernetes experience;
- Experience with Pyomo, Scikit-learn, PySpark, Glue;
- Familiarity with other programming languages (Java, Javascript);
- Experience with ElasticSearch or Solr;
- Knowledge of BI tools (Tableau, Data Studio, QuickSight).

**Responsibilities**
- Quick tryout of new ideas and innovative solutions using POC concept;
- Data sets analysis, finding relevant insights and hypothesis;
- Build and demonstrate models to prove or disprove the feasibility of an idea;
- Document the research and development process and outputs;
- Investigate, track down and coordinate the intake of data sources;
- Collaborate with the team members.