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1 день назад

Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Data Engineer: Building and optimizing scalable data infrastructure to transform massive volumes of information into clear and trustworthy insights with an accent on maintaining and developing Airflow DAGs, SQL query optimization, and evolving the data platform infrastructure. Focus on designing, developing, and testing ETL/ELT processes and participating in architectural decision-making.

Location: Flexible working hours and a hybrid work format across a global, distributed team of professionals from 40+ countries. Relocation support is offered.

Company

hirify.global is the world’s largest financial analysis platform, providing tools for over 100M users across 180+ countries to make informed trading and investment decisions.

What you will do

  • Maintain and develop Airflow DAGs and optimize SQL queries for data marts.
  • Maintain and evolve the data platform infrastructure.
  • Develop dbt models and migrate existing data marts to dbt.
  • Design, develop, and test ETL/ELT processes.
  • Run proof-of-concept projects and bring them to production.
  • Participate in architectural decision-making for the data platform.

Requirements

  • 4–5 years of experience as a Data Engineer.
  • Strong proficiency in Python, including writing Airflow DAGs.
  • Strong SQL skills, including query optimization, reading query execution plans, and improving query performance.
  • Experience with AWS, Apache Airflow, and dbt.
  • Understanding of MPP (Massive Parallel Processing) databases and hands-on experience with systems such as Redshift, Greenplum, or Vertica.
  • Confident Linux user and ability to clearly formulate technical specifications and defend technical decisions.

Nice to have

  • Experience with Lakehouse architecture using Parquet, AWS Athena, and other AWS technologies.
  • Experience with monitoring systems (Prometheus + Grafana, Zabbix).
  • Experience with Postgres, ClickHouse.
  • Experience with Apache NiFi.
  • Experience building and maintaining Docker containers.

Culture & Benefits

  • Flexible working hours and a hybrid work format.
  • Well-equipped offices for focused and collaborative work.
  • Global, distributed team with learning, mentorship, and long-term career growth opportunities.
  • Relocation support and private health insurance.
  • Performance-based bonuses and hirify.global Premium access.
  • Regular team events and company-wide meetups.

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