TRM Labs is looking to solve the problem of fighting crime and creating a safer world by leveraging blockchain data, threat intelligence, and advanced analytics to combat illicit activity and global security threats.
Requirements
- Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
- In-depth experience with data stores such as Icerberg, 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.
- Experience with blockchain data and analytics
Responsibilities
- 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.
- Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
- Enable tasks to be faster next time and reducing dependency on a single person.
Other
- A Bachelor's degree (or equivalent) in Computer Science or a related field.
- 3+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
- Ability to work in a remote-first and async friendly environment
- Ability to collaborate across departments and teams
- Ability to thrive in a fast-paced, high-impact environment
