Назад
Company hidden
1 день назад

Data Engineer

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Data Engineer: Shaping and contributing to hirify.global’s data engineering strategy, including the design, architecture, and implementation of scalable data solutions with an accent on building, maintaining, and evolving the Data Platform to support advanced analytics, machine learning, and real-time decision-making. Focus on designing and implementing ETL/ELT pipelines, applying DataOps best practices, and ensuring reliability and scalability of data pipelines.

Location: Onsite office work required

Company

hirify.global is a digital supply chain solution that provides full transparency from source to market.

What you will do

  • Shape and contribute to data engineering strategy, including the design, architecture, and implementation of scalable data solutions.
  • Build, maintain, and evolve the Data Platform for advanced analytics, machine learning, and real-time decision-making.
  • Collaborate with AI engineers, BI analysts, and business stakeholders to translate data needs into robust technical solutions.
  • Identify data opportunities and enable teams to extract maximum value from data assets.
  • Design and implement ETL/ELT pipelines, including batch and streaming data workflows.
  • Apply DataOps best practices and take ownership of projects end-to-end.

Requirements

  • Solid proficiency in Python and SQL, with hands-on experience with SQL Server / Azure SQL Server.
  • Experience with cloud platforms, preferably Microsoft Azure, and familiarity with modern data stack tools (dbt, Airflow, Dagster, or similar).
  • Strong understanding of ETL/ELT concepts, data architecture, and data modeling.
  • Experience with streaming technologies (Kafka or equivalent).
  • Experience with Docker and Kubernetes for deploying and monitoring applications.
  • Knowledge of application lifecycle management and understanding and application of DataOps practices.

Culture & Benefits

  • Work with a cutting-edge data stack to power real-time, reliable, and beautifully orchestrated data workflows.
  • Enjoy Stebby perks or health insurance, snacks, and free parking.
  • Work in a modern city-center office with great tools and a collaborative atmosphere.
  • Team events and a culture that values balance.

Hiring process

  • Intro call with Toughbyte.
  • Culture fit interview with the company's recruiter.
  • A call with the tech lead and local HR.
  • A meeting in the office.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →

Текст вакансии взят без изменений

Источник - загрузка...