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, Python (team focus), plus a broader polyglot engineering environment across AppsFlyer