Staff Software Engineer, Data Platform

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Requirements:

• 7+ 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 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.

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.