Data Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (Web3): Designing and building mission-critical data services to analyze blockchain transaction activity at petabyte scale with an accent on scalable API development and distributed system architecture. Focus on architecting intricate data models for sub-second latency and implementing high-throughput data pipelines.
Location: Remote (South America)
Company
provides AI-powered intelligence solutions to investigate and disrupt crime by tracing illicit blockchain activity.
What you will do
- Build highly scalable features that integrate with dozens of blockchains.
- Design and architect intricate data models for optimal storage and retrieval to support sub-second latency.
- Collaborate with data scientists, backend engineers, and product managers to implement novel data models.
- Architect and deploy mission-critical data services at petabyte scale.
- Implement and monitor infrastructure using Docker, Terraform, and Kubernetes.
Requirements
- 5+ years of experience in architecting scalable API development and distributed system architecture.
- Exceptional programming skills in Python and adeptness in SQL or SparkSQL.
- Experience with data stores such as BigQuery and Postgres.
- Proficiency in Airflow, DBT, and streaming technologies like Kafka, Flink, or Spark.
- Competence in deploying and monitoring infrastructure using Docker, Terraform, and Kubernetes.
- Must be based in South America
Culture & Benefits
- Distributed-first culture grounded in trust, transparency, and adaptability.
- High-velocity environment that rewards urgency, personal ownership, and outcomes.
- AI-centric workflow where AI fluency is a baseline expectation for all employees.
- Focus on iterative development, experimentation, and the 80/20 rule for maximum impact.
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 →