Big Data Engineer (Scala, Spark) – Fraud Analytics | Flexible
Big Data Engineer building large-scale fraud analytics on a major advertising platform for Grid Dynamics' Silicon Valley client. Day to day: running big data analytics, detecting fraud patterns, and ensuring data integrity using Scala, Spark, Hadoop, Kafka, and streaming tools. On-site in Málaga, Spain with a flexible schedule.
- Compensation
- Not disclosed
- Location
- Málaga, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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 best practices in data quality and quality engineering
- Ability to quickly learn new tools and technologies
- English language proficiency
Nice to have
- Knowledge of Unix-based operating systems (bash/ssh/ps/grep etc.)
- Experience with JVM build systems (SBT, Maven, Gradle)
Full description
Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. 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 languages are required
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
About us:
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.