Data Engineer

Tasks:
- Design and building scalable reliable robust data processing and transformation pipelines (designing ETL system for NLP/ML/DL and other projects);
- Owning data engineering in projects in Deep Learning, Natural Language Processing, Data Capturing, Information Retrieval and other areas;
- Working in the team with data scientists, ML engineers and developers on building the intelligent capabilities into company products;
- Establish solid design and best practice in data engineering.

Must-haves:
- Hands-on experience building data processing systems using Kafka at least 1+ year;
- Experience with different data formats (JSON, Protocol Buffers, Avro etc.) and schema validation tooling;
- Experience with cloud platforms (AWS, GCP, etc.);
- Experience with some data processing automation, schedulers and pipeline tools (Airflow, Luigi, Oozie, NiFi, Beam, Make, etc.);
- Advanced Linux experience (Bash, CL tools);
- Strong coding and software engineering skills;
- Python programming experience for 2+ years;
- Level of English – Intermediate.