вчера

data engineer for ETF data

ориентир по рынку
вакансия зп не указана
в среднем 305 466 ₽
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описание

ETFBOOK is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Its platform offers insights through a web application and APIs covering product analysis, fund flow tracking, performance comparisons, and liquidity assessments.

задачи

  • Lead complex data engineering projects and pipeline development
  • Design scalable, secure, and high-performance data architecture
  • Define engineering standards and best practices for data pipelines
  • Work closely with Data Analytics, Data Science, Product, and engineering teams
  • Mentor junior engineers and provide technical guidance
  • Drive improvements in performance, reliability, security, and cost optimization of the data platform

требования

  • 8+ Years of professional experience in Data Engineering
  • Excellent knowledge of one or more data processing and analytics frameworks, such as Apache Spark, Databricks, dbt, Snowflake, or similar technologies
  • 8+ Years of professional experience with an object-oriented or functional programming language, such as Python, Java/Scala, or C#
  • Strong knowledge of big data and distributed storage technologies, such as Delta Lake, Apache Iceberg, HDFS, or similar platforms
  • Strong understanding of data governance, security, and performance optimization
  • Experience delivering complex data engineering projects
  • Strong communication and stakeholder management skills
  • Experience leading cross-functional projects
  • Ability to mentor junior engineers
  • Ability to provide technical leadership and work independently
  • English B2
  • Будет плюсом: Experience with ETF or financial data products, data modelling and data architecture concepts including database normalization, dimensional modelling (star schema) and/or Data Vault modelling, code quality, data quality and automated testing practices using Great Expectations (GX), dbt Tests, Deequ/PyDeequ or similar frameworks, familiarity with data platform architecture, data governance best practices, security principles and data observability

условия

  • Contract; B2B contract
  • Competitive B2B contract
  • Growth opportunities in a fast-paced startup
  • Opportunity to influence live projects and deliver measurable results in real-world applications
  • Collaboration with professionals in technology and finance, with experimentation and creativity encouraged
  • Team-building events at least twice a year in various European locations

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