Position: Data Engineer
Company: Star
Category: Python
Experience required: 2y
English level: upper

THE OPPORTUNITY

We’re looking for an eager learner who wants to constantly improve big data analysis skills. You will join our Data team and will work on an e-commerce  project  processing millions of daily events. You will have an opportunity to contribute your knowledge to end-to-end data projects hosted in the cloud. It might be an ideal position for a data engineer who wants to apply and improve their skills building data pipelines.


THE PERSON
Qualification and experience

- At least 2 years of commercial experience with Python (Jupyter, pandas, numpy)
- Experience building ETL data pipelines
- Hands on experience with DW platforms like Redshift, Snowflake
- AWS experience: S3, IAM, VPC, RDS
- Strong mathematical and statistical skills
- Great algorithmic skills
- SQL knowledge
- A master’s or bachelor’s degree in computer science or similar

Would be a plus
- Experience with PySpark, Glue
- Familiarity with other programming languages (Java, Javascript)
- Experience with ElasticSearch or Solr
- Knowledge of BI tools (Tableau, Data Studio, QuickSight)


THE COMPANY
Star is a global consultancy that connects strategy, design, engineering and marketing services into a seamless workflow devised to support our clients every step of the way – no matter how long or complex their journey. We anchor everything we do in clear and compelling endgames, which in turn enable our strategists, designers and engineers to create useful, scalable products and solutions. We are 750 strategists, designers, engineers and marketers in 12 locations around the world, and we are here to make every great idea, every great person and every great company shine. That is why we’re called Star.