Senior Data Engineer, Data Platform

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TRM Labs

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2018

₿ Crypto

📋 Conformité

🤝 B2B

Crypto • Compliance • B2B

TRM Labs est une entreprise spécialisée dans l'intelligence blockchain qui fournit des solutions de surveillance de transactions, de services forensics et de conformité aux entreprises et organismes du secteur public traitant des cryptomonnaies. Leur plateforme et leurs produits (exemples : Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) aident les banques, les entreprises crypto, les régulateurs, les forces de l'ordre et les autorités fiscales à détecter, enquêter et bloquer les activités crypto illicites, soutenir les saisies, et répondre aux exigences de LBC/FT et de supervision. TRM propose également des formations et certifications (TRM Academy) ainsi que des services professionnels tels que la réponse aux incidents et le développement des capacités.

Description

• Build highly reliable data services to integrate with dozens of blockchains. • Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. • Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. • Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

🎯 Exigences

• A Bachelor's degree (or equivalent) in Computer Science or a related field. • A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. • Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. • In-depth experience with data stores such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. • Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. • Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. • Proven ability in loading, querying, and transforming extensive datasets.

🏖️ Avantages

• Health insurance • Flexible working hours • Professional development opportunities • Wellness programs