Software Engineer
AppsFlyerMobile Attribution company
KyivSenior
Google
General Atlantic
Salesforce Ventures
Meta
Unity
Moloco
Data & AI
About the role
TL;DR
Build and operate a high-scale data platform processing billions of events daily.
- •The DataOS team at AppsFlyer is building and operating a reliable, high-scale data platform that powers analytics and product capabilities across the company.
- •We process more than 150 billion events per day and manage petabyte-scale historical data.
- •Key Responsibilities 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.
- •Requirements 3+ 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.
Required skills
SparkAWSScalaJavaPythonS3
Nice-to-have skills
AthenaDatabricksCI/CDTerraform
Benefits & perks
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
Tech stack
SparkS3AWSAthenaBigQueryDatabricksScalaPythonJava
