Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. We are looking for an enthusiastic and technology-proficient Big Data Developer, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.
Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in of the biggest search and news providers.
Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. We are looking for an ambitious, self-starter individual who can thrive in an agile environment. You will develop distributed systems to establish, refine and automate our anti-fraud processes across our advertising surfaces.
This role involves running big data analytics, and building large scale data infrastructure as well. Detecting meaningful data patterns, assuring the integrity of our data, measuring fraud activity and its impact on campaign and user performance, and finally, analyzing the results of mitigations against fraud. In addition, the successful candidate may also apply ML techniques for identifying characteristics and patterns related to fraud activity and implementing them to protect our business.
You will be working in the team of professionals to implement complex solutions, drive innovations and make technical decisions. There are Petabytes of information and you will need to optimize your solution to work with this volume.
— Strong knowledge of Scala
— In-depth knowledge of Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams)
— Understanding of the best practices in data quality and quality engineering
— Ability to quickly learn new tools and technologies
Will be a plus:
— Knowledge of Unix-based operating systems (bash/ssh/ps/grep etc.)
— Experience with JVM build systems (SBT, Maven, Gradle)
— Opportunity to work on bleeding-edge projects
— Work with a highly motivated and dedicated team
— Competitive salary
— Competitive salary
— Flexible schedule
— Benefits program
— Social package — medical insurance, sports
— Corporate social events
— Professional development opportunities
— Opportunity for long business trips to the US and possibility for relocation
Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.