Position: Big Data Engineer
Company: Grid Dynamics
Experience required: 2y
English level: intermediate

In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets.

Project description:

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.

Responsibilities:

* Running big data analytics, and building large scale data infrastructure;
* Detecting meaningful data patterns;
* Assuring the integrity of our data;
* Measuring fraud activity and its impact on campaign and user performance;
* Analyzing the results of mitigations against fraud;

Requirements:

* 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;
* English B2.

Will be a plus:

* Knowledge of Unix-based operating systems (bash/ssh/ps/grep etc.)
* Experience with JVM build systems (SBT, Maven, Gradle)

We offer:

- Opportunity to work on bleeding-edge projects;
- Work with a highly motivated and dedicated team;
- Competitive salary;
- Flexible schedule;
- Professional development opportunities.