Senior Software Engineer developing Hadoop/Hive & Trino solutions for Treasure Data's Intelligent Customer Data Platform. Collaborating with teams to enhance data ingestion and availability at scale.
Responsibilities
Design and develop Hadoop/Hive & Trino solutions, providing technical expertise for modern data architecture assessment and use case development
Establish engineering standards for design, development, tuning, deployment, and maintenance of advanced data access frameworks and distributed systems
Collaborate with your team to define product roadmaps based on operational needs and customer-requested features while mentoring and training new team members
Own version and release management, including baseline evaluation, patch backporting, and deployment of customer-facing features
Coordinate with Support and Product teams on release cycles and feature delivery
Contribute to Hadoop/Hive & Trino OSS through bug fixes, new features, and technical documentation
Partner with SRE to automate cluster operations, reducing operational overhead through automated lifecycle management and load balancing workflows
Design and implement observability solutions, including health metrics, capacity planning tools, and automated failure detection and recovery systems
Provide expert customer support, including on-call responsibilities, escalation handling, and in-depth troubleshooting of performance and defect issues
Develop custom technical solutions, including user-defined functions (UDFs) and specialized tooling for Hadoop/Hive & Trino
Requirements
5+ years building and operating distributed systems
Strong Java and deep understanding of algorithms, data structures, and distributed systems fundamentals
Solid understanding of cloud architecture and services in public clouds like AWS, GCP, or Microsoft Azure
Strong capability in implementing new and improved data solutions for multi-tenant environments
Experience in developing use cases, functional specs, design specs, etc.
Experience working with distributed, scalable Big Data stores or NoSQL, including HDFS, S3, Cassandra, Big Table, etc.
Strong analytical and communication skills; able to influence across Product, SRE, and Support
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