Data Engineer (удаленная работа)

30 октября 2024

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.


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