Position: Middle/Senior Big Data Engineer
Company: Grid Dynamics
Experience required: 3y
English level: upper

Project description:
The Client's 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. 
Their platforms are highly performant, deployed at scale, and set 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 as detecting meaningful data patterns, assuring the integrity of our data, measuring fraud activity and its impact on the 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.

**Details on the tech stack:**
1. Scala, Java, Spark, HDFS, Hadoop
2. Apple-specific tools and libraries - very intensively as a team is the key contributor (Kube, Hubble, etc)
3. Cassandra, Kafka, Kubernetes (Apple version or internal use on private cloud)

**Min requirements for the candidate:**
1. Strong computer science fundamentals.
2. Prior experience with Java/Scala or equivalent.
3. Apache Spark, experience debugging Spark Jobs.
4. Demonstrated ability to work on complex problems and systems.
5. Strong problem-solving and debugging skills.
6. Have the ability to communicate effectively with technical and non-technical multi-functional teams.
7. Should be available from 10 to 11 AM PST.

**Team:**
On our side 2 Engineers in the team, and there are several engineers on the client side. The growth of our team will be up to 6-7 people.