Data Engineer (вакансія неактивна)

1) Degree in engineering, computer science or a related field;
2) 1+ year of experience in the development of data engineering;
3) 1+ year of experience in Spark, Spark ML big plus;
4) 2+ years of experience in Scala (can consider Java developers with Spark experience which want to learn Scala);
5) Good understanding of data structures and database technologies;
6) Comfortable in Linux/bash.

1) Expertise in Python with data science libraries such as pandas, NumPy, and scikit-learn big plus;
2) Hands on experience in AWS or Azure;
3) Experience from both startup (Lean/Agile) and enterprise (more waterfall-like) environments.

1) Comfortable working conditions;
2) Flexible working hours;
3) 20 working days paid vacation;
4) Free coffee and other cookies;
5) PE support;
6) Paid sick leaves.

1) Platform work (solution design and implementation of stream processing, ETL and pipeline automation toolchains);
2) Сoncrete pipelining tasks (configuring data flows from source systems to the data lake and/or various lakeshore access layer stacks).