Big Data Engineer- Skan

AppsFlyer is known for its massive backend production. At any given moment thousands of servers are consuming 100+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale.

iOS 14 is changing mobile marketing...

Apple’s announcement around new privacy guidelines for iOS has launched industry-wide speculation in regard to the future of the App Store economy. As the leading attribution provider at the center of this ecosystem, we see it as our responsibility to provide fact-based guidance and support for brands with the measurement tools they need to succeed in the mobile ecosystem.

The Skan group is an opportunity to join a complex innovative standalone solution to seamlessly manage Skan conversion values directly from the AppsFlyer dashboard. A dedicated dashboard aggregates and centralizes Skan data, which includes consuming and validating Skan’s postbacks.

Data Engineer at AppsFlyer shapes and improves leading mobile analytics solutions while using cutting edge technologies such as Clojure, Scala, Druid, Kafka, Spark,Hadoop, Airflow, BigQuery, and many more...

Data enthusiasts will have an opportunity to promote innovative, complex and state-of-art data processing projects - analytics, aggregation and visualization.ֵ

What do you gain?

Scale. We mean it. Think BIG! With more than 300 (and growing) engineers, hundreds of deployments per day for our 400+ microservices, on top of thousands of machines we manage on the cloud, we produce around *petabyte* of data, daily. You’ll learn how to run systems at scales as well as the reality of hyper growth from many great engineers.

What you'll do

• Develop end-to-end both client facing and data infrastructure features from data processing to database choice and modeling implementation
• Analyze and improve performance, scalability and stability of our systems, environments and tools.
• If you're up to the challenge - Speak at meetups, write blog posts, speak at conferences, contribute to existing open source projects and release new open source software.

What you have

• 4+ experience as a Data Engineer or development experience of which specifically in production grade Spark pipelines.
• Strong server-side skills.
• Real-life experience with developing and maintaining a large scale big data system.
• Deep understanding of Big / Distributed Data concepts like partitioning and skew.
• B.Sc. in Computer Sciences or an equivalent.

Bonus Points

• Applicative nosql DB optimization background
• Ability to form strong mental models of complex data serving stacks.
• Being introduced by an AppsFlyer team member

As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO