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


Software developer with over 5 years of experience of the design and development of products.
Main experience with Python, PySpark, Azure, AWS, GIT in Telecom, Web, and Financials areas. Involved in more than 9 projects of various scales and size, as a part of a team with 5-10 members.
Experience working according to the Scrum process as a part of XFT (cross functional team) structure.
Additionally, learn new technologies such as GraphQL, Redis and try to always be familiar with newness. About myself: flexible/adaptable, acting as a team member, ability to learn fast, competitive.
Technical skills
 Programming languages: Python, JavaScript, HTML, CSS, PLEX, PLEX-M.
 Frameworks: Django, Flask, Bootstrap, DRF, GraphQL.
 Platforms: Mac OS X, Windows XP, Linux.
 Development tools: Spark, Hive, Hadoop, Airflow, ADF, Celery, Redis, RabbitMQ, SnowFlake,
SnowPark.
 Core libraries: Pandas, NumPy, Sklearn.
 CI/CD: GitLab, GitHub actions
 Databases: MySQL, PostgreSQL, MongoDB, Redis, Redshift, Aurora.
 Issue Tracking: Jira, Azure DevOps.
 Cloud platforms: AWS, Azure