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5 дней назад

Senior Data Engineer (Web3)

Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Web3): Building and evolving GoMining's cloud-based data platform and reliable batch and streaming pipelines with an accent on scalable architecture, data quality, and platform reliability. Focus on designing data models and contracts, automating ETL/ELT workflows, implementing observability, and supporting analytics, machine learning, and product teams.

Location: Worldwide; remote or hybrid with flexible hours

Company

hirify.global is developing a cloud-based data platform that supports analytics, machine learning, and product teams.

What you will do

  • Design, build, and evolve the cloud data platform on Google Cloud Platform using modern data architecture principles, including Medallion Architecture.
  • Develop reliable batch and streaming pipelines, ETL/ELT workflows, API integrations, and analytical data marts.
  • Define data models, data contracts, integration standards, and engineering practices across the data ecosystem.
  • Implement data quality controls, monitoring, alerting, SLA management, and observability for data pipelines.
  • Drive Infrastructure as Code, CI/CD, automation, documentation, and code quality standards.
  • Collaborate with Analytics, Data Science, Product, and Engineering teams and contribute to ML and AI infrastructure.

Requirements

  • 6+ years of experience in Data Engineering, including 3+ years in senior-level roles.
  • Strong software engineering background with excellent Python and SQL skills.
  • Experience designing cloud-based data platforms and data warehouses on Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, and Composer.
  • Hands-on experience with ETL/ELT pipelines, streaming architectures, API integrations, data modeling, distributed systems, and scalable data architectures.
  • Experience with Terraform, Kubernetes, Docker, CI/CD, data quality, monitoring, and observability solutions.

Nice to have

  • Experience building ML infrastructure and supporting Data Science teams.
  • Experience with Kafka or other streaming platforms and modern data lakehouse architectures.
  • Experience with fintech, crypto, Web3, or high-scale B2C products.
  • Experience using AI tools to improve engineering productivity.

Culture & Benefits

  • Remote or hybrid work with flexible hours across international teams.
  • Up to 100% coverage for courses, conferences, and English learning.
  • Up to 20 vacation days, 8 company holidays, and 5 personal days per year.
  • Structured performance reviews and team awards.
  • International team retreats, including stays in company apartments in Cyprus.

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