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Senior or Staff Software Engineer, Data Platform

Posted 22 days agoViewed

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💎 Seniority level: Senior, 5+ years

🔍 Industry: Software Development

🏢 Company: TRM Labs👥 101-250💰 $70,000,000 Series B over 2 years agoCryptocurrencyComplianceBlockchainBig Data

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 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 ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.
  • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
  • 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
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.
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🧭 Full-Time

🔍 Software Development

  • 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 ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.
  • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
  • 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
  • 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.
Posted 17 days ago
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