Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 4

Creating own variation of Airflow(tool for orchestration of tasks with workers and metadata). Creating hyperparametrized ELT pipelines, which takes data from 1000 of different data sources and calculating marketing and product metrics for analytics. Creating a DWH with kimball metodology.
Creating realtime synchronization system of SQL(Postgres) and NoSQL(ArangoDB,ElasticSearch) DB's with Kafka,Debezium and Python.Developing Big Data Pipelines with Talend,Airflow and Python. Deploying projects with Docker and Kuberneties.
Having good experience with new technologies.