BigData Engineer (Scala, Spark) IRC273773

Description

Founded in 2007, Rubicon Project’s pioneering technology created a new model for the advertising industry. Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe, enabling them to reach more than 1 billion consumers. Rubicon Project operates the largest independent Display Advertising Exchange and Supply Side Platform that automates the buying and selling of Display Advertising across all formats (banner, video) on all devices (desktop browsers, mobile devices, billboards). Rubicon Project auctions over 20 Billion Ads on a daily basis in real-time in less than 1/2 of a second each. Rubicon Project is a publicly traded company (NYSE: RUBI) headquartered in Los Angeles, California, USA.

Requirements

• Experience building and operating large-scale, high-throughput, enterprise apps;
• 3+ years of working experience in server-side Scala;
• Working experience with data processing systems (Hadoop, Hive, Kafka, Spark);
• A strong understanding of algorithms, data structures, and an ability to recognise the business and technical trade-offs between different
  solutions;
• Expertise in threading and concurrency;
• Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration);
• Experience with SQL queries (MySQL is a plus);
• Experience with development and CI tools (Maven, git, Jenkins, Puppet, Crucible, Jira, Airflow, Python is a plus);
• Experience working in a Linux environment;
• Expertise in building software in an agile development environment;
• Demonstrated strong English language verbal and written communication skills.

Job responsibilities

• Write production-ready code and unit tests that meet both system and business requirements;
• Respond to feature requests, bug reports, performance issues, and ad-hoc questions;
• Work collaboratively with multiple teams to deliver quality software.
• Comfortable in multi-tasking and fast-pacing dev process;
• Support operation of services in production.