Data Engineer

We’re looking for an experienced Data Engineer to join our remote team.
We work in a very challenging business domain, the HealthCare space.

Responsibilities:
-Design, build and operationalize large enterprise data solutions using the AWS stack including: S3, Redshift and Kinesis;
-Design and build production data pipelines from ingestion to consumption within a big data architecture, using Kinesis, Apache Airflow, Python - Pandas, Golang;
-Strategize and implement pricing algorithms which have a direct impact on our bottom line;
-Responding to ad hoc data analysis requests from the business;
-Keep our data safe. We are very serious about our customers' personal medical information.

Requirements:
-5+ years of software engineering and/or working with Data Solutions;
-Architecting data solutions with complex data sets in the cloud;
-Proficient with cloud data warehousing (Redshift, snowflake etc), Object storage, a relevant data-centric programming language (we use Python - Pandas);
-Know the difference between simple and easy;
- Excellent communication skills.

Benefits:
-100% remote;
- We are ready to discuss salary;
-Casual work environment;
-Flexible hours.