5 дней назад
Senior Data Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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