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

**The Opportunity**

Our client is a worldwide leader in the advertising industry and specializes in digital marketing services that integrate technology, data, inventory, and human intelligence to reach and manage the most profitable audiences for its customers.

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**

- 3 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.

**Compensations and Benefits**

We offer a rewarding compensation and benefits package, intellectually and creatively stimulating environment, professional flexibility and unique international travel opportunities.

Star is an Equal Opportunity Employer. We believe that equity, diversity and inclusion are key to our ability to provide our clients and crew members with unique business and career outcomes. Your race, color, ancestry, religion, gender, identity, sexual orientation, age, marital status, disability have no effect on our hiring decisions. If you have a special need that requires accommodation, please let us know.