Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 5


Experienced Data Engineer(5+ years)
Have a solid understanding of classic DWH and Data Lake architectures, ETL&ELT solution design. Communicative team player, with strong analytical skills. Still young and proactive. 
Upper-intermediate+ English.

Experience:
- Scala, Python.
- Implementation of classic ETL workflows (SSIS, DataStage, Talend, etc.).
- Building real-time high-load Big Data pipelines (Spark Streaming)
- Collecting and parsing data from different sources (DB, Parquet, JSON, CSV, EDI X12, API endpoints).
- Processing of large amounts of data, and performance optimizations.
- Building a cloud data platform from scratch (AWS, Azure).
- Working with a wide type of data storages (Hive, Data Lake, Relational database, DWH, Kafka, Elastic). 
- DataOps stuff. 
- Data validation and tests.
Not interested in big old projects with thousands of unnecessary meetings. The product should be interesting and useful for humanity. I don't want to be a part of a project where the main idea is to get money from customers.
No russian co-workers, projects, or targeting russian markets.