Position: Data Engineer (Python)
Company: Qubit Labs
Category: Python
Experience required: 3y
English level: intermediate

Required skills:

- Proficiency with Python language to analyze and organize raw data 
- Knowledge of AWS, especially Data Lake (Glue, Athena) 
- Experience with Apache Spark.
- Experience building and optimizing ETLs, data pipelines, architectures and data sets Experience with implementation of any data warehouse
- English, intermediate - upper intermediate (able to understand and speak on technical subjects). 

Nice to have skills:

- Experience with NiFi would be a big plus.
- Master’s degree in computer science or related field.
- Knowledge of Scala language (Akka, HTTP, actors, streams) would be a big plus.
- Experience with Druid.
- No-SQL DBs like MongoDB any RDBMS

What tasks to perform:

- Building Data Lake tables using AWS Glue (Spark) 
- Data ingestion using Apache NiFi and AWS services.

We offer:

— To join only foreign product teams;
— To be fully involved in product development and implement your bits of knowledge and ideas.
— Competitive salary depends on your qualification;
— Flexible schedule: 8 hours per day, usually we start working from 9 to 11 am;
— Full-time remote;
— Paid vacation (18 working days per year);
— Paid sick leaves (10 working days per year);
— Registering as a private entrepreneur („ФОП”, managed by our accountant);
— Health insurance in Ukraine:
— Educational compensation;
— Monthly delivery of delicious lunches and snacks;
— Corporate life subject to quarantine regulations (a variety of online activities).