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. Our team owns much more than a traditional "data lake" - including schema management, ETL pipelines, and interfaces to and from storage.
If you're excited by scale, ownership, and building production-grade data systems, we'd love to meet you.
Tech stack highlights
Key technologies include:
Processing and streaming: Spark, Kafka
Data lake and formats: S3, Parquet, Delta Lake, Iceberg, Hadoop, Hive
Cloud and compute:** AWS, EMR/EMR Serverless, Athena
Analytics and data platforms:** BigQuery, BigLake, Aerospike, AWS Glue, Databricks Delta Engine
Languages: Scala, Java, plus a broader polyglot engineering environment across AppsFlyer
What you'll do
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
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.
Nice to have
Knowledge of Scala is a plus.
Experience with the Hadoop ecosystem and distributed data processing platforms (AWS EMR, GCP Dataproc, Azure Cosmos, CDP, MapR, Databricks, or similar).
Hands-on AWS experience, especially with S3 and EMR/EMR Serverless.
Experience with CI/CD pipelines and tooling.
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.
Experience building and operating cloud-based, high-scale distributed systems.
Referred by an AppsFlyer employee.
Benefits:
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
Position number - 2895
As a global company operating from 25 offices across 19 countries, 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.