Senior Data Engineer
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
AppsFlyer processes 150+ billion events across its platform, and our Web Attribution team is at the center of extending that power beyond mobile. We build the product that shows advertisers which campaigns really drive results on the web.
דרישות
- 6+ years in Data / Big Data Engineering, including building and running production systems at scale.
- B.Sc. in Computer Science or equivalent.
- Deep, hands-on Apache Spark experience: you understand execution plans, partitioning, and memory management, and you know how to debug skew and performance problems at scale.
- Deep experience with a cloud analytical warehouse (BigQuery, Snowflake, Redshift, or Databricks SQL) as both a processing and serving layer. BigQuery is a strong advantage.
- A proven track record in data-system design: you've written design docs, made trade-offs between cost, latency, and correctness, and taken designs all the way to production.
- Experience with workflow orchestration (e.g., Airflow) and cloud environments at production scale. GCP preferred.
- Strong programming fundamentals: clean, testable, production-grade code. Scala preferred; Python for orchestration.
- A natural instinct for data quality: you think about edge cases, dedup logic, and "what happens when this field is null" before anyone asks.
- Hands-on use of AI tools in your daily engineering work, and a clear view of where AI helps data engineering and where it doesn't.
- Experience building or maintaining attribution / AdTech data systems. (advantage)
- Advanced Scala or functional programming experience. (advantage)
- Experience with attribution models (last-click, multi-touch, view-through). (advantage)