обновлено 17 часов назад
Data Engineer (Blockchain)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Blockchain): Building mission-critical data services and scalable features that analyze blockchain transaction activity at petabyte scale with an accent on data modeling, distributed systems, and low-latency querying. Focus on integrating dozens of blockchains, designing streaming and orchestration workflows, and deploying reliable cloud infrastructure.
Location: Remote in South America
Company
provides AI-powered intelligence platforms that help public and private sector agencies investigate financial crime, trace illicit activity, and disrupt threat networks.
What you will do
- Build highly scalable data features integrating with dozens of blockchains.
- Design and architect data models optimized for storage, retrieval, and sub-second querying of blockchain data.
- Develop mission-critical data services processing blockchain transaction activity at petabyte scale.
- Collaborate with data scientists, backend engineers, and product managers on data models and product features.
- Guide projects from initial ideation through production deployment.
Requirements
- Bachelor’s degree or equivalent in Computer Science or a related field.
- 5+ years of hands-on experience architecting scalable APIs and distributed systems.
- Strong Python programming skills and proficiency in SQL or SparkSQL.
- Experience with data stores such as BigQuery and Postgres.
- Experience with data pipelines, workflow orchestration, and large-scale data processing.
- Experience deploying and monitoring cloud infrastructure with tools such as Docker, Terraform, Kubernetes, and Datadog.
Nice to have
- Experience with Airflow, DBT, Dataflow, Spark, Kafka, or Flink.
- Experience loading, querying, and transforming extensive datasets.
Culture & Benefits
- Distributed team working across several countries and time zones.
- Culture based on trust, transparency, adaptability, ownership, and continuous improvement.
- High-velocity environment focused on experimentation, rapid delivery, and measurable customer impact.
- Close cross-functional collaboration and frequent communication.
- AI fluency is expected and applied AI skills are evaluated during interviews.
Hiring process
- Applied AI fluency is evaluated during the interview process.
- Interview use of external AI tools is not permitted without prior approval.
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