Position: Big Data Engineer
Category: Data Science
English level: upper
Years of experience: 7

7+ years experience in software and data development on various projects
Hands on infrastructure and development experience in building distributed and scalable solutions
Steaming and batching processing data
Data orchestration experience using Airflow
Kubernetes Spark and Airflow operators
Expert in Python
Good experience in Scala
Experience with building ETL
Experience in Data Science (Image recognition using OpenCV)
DevOps practical experience (Ansible, K8s)
Participant in opensource projects (Airflow Spark Operator on top of K8s)
- Python(6+ years)
- Scala(1+ year)
- Spark, Hadoop, HDFS, Hive, Presto, Airflow
- Kafka/RabbitMQ
- NoSQL
- ELK
- RDBMS
- BI(Pentaho, Jasper)
- Docker, Docker Swarm, Kubernetes, Ansible
- AWS/GCP
take a job on project to build scalable platform;
project from scratch is a big plus;

Don't like working with REST API, web frameworks and extracting data using just native libraries of any programing languages.