Position: Java\Scala Big Data Engineer
Company: GlobalLogic
Experience required: 2y
English level: intermediate

Our client is an 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. It 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). It auctions over 200 Billion Ads on a daily basis in real time in less than 150 milliseconds each.  It headquartered in Los Angeles, California, USA.

Reporting & Insights Team

Every day, as a company we serve billions of ads, process terabytes of data and provide valuable data and insights to our publishers and buyers. You will be working directly on the suite of world-class applications offering business intelligence reports for our customers, help them monitor Ads serving results and metrics trendings, also assist them make critical business decisions based on the Actionable Insights. You will work with a group of talented Software Engineers to deliver the industry-leading data processing system that generates accurate, fast, and reliable reports.

Requirements:
Experience building and operating large-scale, high throughput, low latency enterprise apps
Demonstrated strong English language verbal and written communication skills
Strong knowledge of Scala or Java. 3+ years working experience in server side Java or Scala.
Expertise in threading and concurrency
Expertise in Service-oriented architectures, microservices, highly scalable and available web services.
Experience with Druid, Vertica or other analytical databases a plus!
Experience with AWS is a plus.
Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration)
Experience with SQL queries and stored procedures (MySQL is a plus)
A strong understanding of algorithms, data structures, and an ability to recognize the business
and technical trade-offs between different solutions
Experience working in a Linux environment.
Expertise building software in an agile development environment
Minimum of B.S. in Computer Science or related science required.