Senior Software Engineer

The DataOS team at AppsFlyer is building and operating a high-scale data platform processing 150 billion events per day. They own data pipelines, schema management, ETL, and storage interfaces. The role involves designing and evolving large-scale data pipelines using Spark, Kafka, Scala, and Java.

• Design, build, and evolve large-scale data pipelines from raw ingestion to production-ready datasets.
• Develop and maintain Spark/Scala-based data processing workflows for both batch and streaming use cases.
• Own data platform reliability, quality, and performance in production environments.
• Collaborate with engineers, product owners, and stakeholders to define and deliver robust data solutions.
• Help shape engineering standards and operational practices as the DataOS team grows.

• 5+ years of software engineering experience, with strong hands-on Scala and/or Java development.
• Strong Java core fundamentals
• Proven experience with Spark and Kafka in production environments.
• Experience with the Hadoop ecosystem and distributed data processing platforms (AWS, GCP, Azure, CDP, MapR, or similar).
• Hands-on AWS experience, especially with S3 and EMR/EMR Serverless (Athena is a strong advantage).
• Experience building and operating cloud-based, high-scale distributed systems.
• Strong analytical and interpersonal skills, with the ability to work effectively across engineering and business teams.
• Professional spoken and written English.

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package