Если информация в вакансии не соответствует действительности, или эта вакансия является мошенничеством, сообщите, пожалуйста, модератору, используя кнопку . Спасибо.
Уровень зарплаты: з.п. не указана
Требуемый опыт работы: Не указан
Вакансия: Data Engineer
Описание вакансии
Tasks:
Creating ETL processes and data marts.
Designing linearly scalable client wrappers for interacting with exchange APIs, brokers, data aggregators, vendors, and blockchains.
Working with FIX, HTTP, WebSocket, and gRPC protocols.
Configuring monitoring systems to ensure the reliability of ETL processes.
Developing BI dashboards/reports using data visualization tools such as Grafana, Tableau, LightweightCharts, and Google Sheets.
Analyzing and comparing diverse data sources, their costs, and the amount of effort required to obtain them.
Searching for data from non-normalized sources, such as news, social media, or websites.
Requirements:
Strong proficiency in SQL: aggregations, joins, subqueries, window functions (first, last, candle, histogram), indexes, query planning, and optimization.
Experience in designing database schemas: normalization/denormalization within the scope of OLAP/OLTP.
Understanding of different data storage architectures (Data Warehouse, Data Lake).
Experience working with databases such as PostgreSQL + TimescaleDB or ClickHouse.
Experience with raw data, including cleaning, normalization, and enrichment (CSV, JSON, PCAP, FIXML, etc.).
Experience with large datasets (1TB+) and understanding of data architecture for high-load systems.
Ability to work in a rapidly changing, dynamic environment.
Nice to have:
Proficiency in Docker, Airflow, and Kafka tools.
Experience and/or willingness to transition to Julia, Rust, Python.
Experience with the Hadoop ecosystem (HDFS, Hive, Spark).
Understanding high-level business tasks and independently determining the data needed to solve them.
Knowledge of basic trading statistics such as PnL, trading volumes, funding and interest rates, profitability, variation margin, spreads, convert rates, weighted average prices, etc.
Knowledge of financial markets and trading systems.
Experience with real-time data processing and streaming data technologies.
We offer
Being a part of a modern international technology team, zero bureaucracy, legacy and technical debt.
Great opportunities for professional growth and personal fulfillment: top team, cool atmosphere, participation in professional international conferences.
Remote work from anywhere in the world, flexible schedule, help with relocation.
A real wage, pay in hard currency, compensation for VMI, corporate sports and non-core training, help with relocation.