Dremio is an innovative company that offers educational resources and certifications through Dremio University, providing courses and badges in data analytics and product development. It aims to empower professionals in the tech and data field by offering specialized training for roles such as Data Analyst and Data Engineer, ultimately enhancing their skills and career prospects.
Data Analytics • Big Data • Self-Service Data • SQL • NoSQL
March 13
Apache
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Hadoop
HDFS
Java
Microservices
Open Source
Spark
SQL
Dremio is an innovative company that offers educational resources and certifications through Dremio University, providing courses and badges in data analytics and product development. It aims to empower professionals in the tech and data field by offering specialized training for roles such as Data Analyst and Data Engineer, ultimately enhancing their skills and career prospects.
Data Analytics • Big Data • Self-Service Data • SQL • NoSQL
• Own design, implementation, testing, and support of next-generation features related to Dremio’s Query Planner and Reflections technologies • Work with open source projects like Apache Calcite and Apache Iceberg • Use modular design patterns to deliver an architecture that’s elegant, simple, extensible and maintainable • Solve complex technical problems and customer issues while improving our telemetry and instrumentation to proactively detect issues before they arise and make debugging more efficient • Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure • Mentor other team members for high quality and design • Collaborate with Product Management to innovate and deliver on customer requirements and with Support and field teams to ensure customer success
• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience • 5+ years of experience developing production-level software • Fluency in Java/C++ • Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models, and their use in developing distributed and scalable systems • Strong database fundamentals including SQL, performance, and schema design is a big plus • Experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully • Passion for learning, quality, zero downtime upgrades, availability, resiliency, uptime of the platform, and using latest technologies • Ability to solve ambiguous, unexplored, and cross-team problems effectively • Understanding of distributed file systems such as S3, ADLS, or HDFS • Experience with AWS, Azure, and Google Cloud Platform and background in large scale data processing systems (e.g., Hadoop, Spark, etc.) is a plus • Ability to scope and plan solutions for big problems and mentors others on the same • Interested and motivated to be part of a fast-moving startup with a fun and accomplished team
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