Data Engineer

AppsFlyer is known for its massive backendAppsFlyer is known for its massive backend production. At any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale.

We in the privacy attribution group are facing a new world of privacy mobile attribution. Apple started a few years ago and Android is joining the challenge right now.

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.

Joining our group you will work on complex innovative standalone solutions to seamlessly manage 2 product lines, Skan and android sandbox.

We are seeking a Big Data Engineer with at least 2 years of experience. A strong understanding of data structure is critical. You will design, develop and maintain data systems, optimize pipelines, and ensure data integrity.

Data Engineers at AppsFlyer shape and improve leading mobile analytics solutions while using cutting edge technologies such as Scala, Druid, Kafka, Spark, Hadoop, Airflow, BigQuery, and many more...

What you’ll do

• Own and develop AppsFlyer products and features end-to-end - from design to production
• Collaborate with Product Managers and Software Engineers to deliver complex products.
• Develop and maintain scalable data pipelines.
• Implement ETL processes and data integration.
• Optimize data performance and ensure security.
  
  

• At least 2 years in Big Data engineering.
• Proficiency in Spark or similar.
• Strong programming skills (Scala, Python).
• Experience in analyzing data and working with SQL.
• Experience with cloud platforms (preference to AWS).
• B.Sc. in computer science or an equivalent.
• A “get-things-done” approach
  
  

• Experience in building APIs for server-client applications.
• Experience with data warehousing solutions.
• Recommended by an AppsFlyer employee.