Senior Data Engineer

Описание

AppsFlyer processes over 150 billion events across its platform, with the Web Attribution team extending this power beyond mobile by building products that show advertisers which campaigns drive web results. This role involves attributing every web user journey from first click to conversion across thousands of apps and billions of sessions.

Responsibilities

• Build and improve pipelines that process billions of web events (sessions, in-app events, conversions) with strict freshness and accuracy SLAs, from ingestion through distributed processing to the serving layer
• Own the technical design of the team's pipelines, from spec to production
• Write design docs, review the team's designs, and make key trade-offs, such as what runs in SQL and what runs in Spark
• Work with the group's architects on cross-team designs
• Work with the team lead on the roadmap, planning, and priorities
• Break large projects into clear deliverables
• Represent the team in technical discussions with Product, R&D, and partner teams
• Own production incidents end-to-end and turn them into lasting fixes

Requirements

• 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
• 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
• Strong programming fundamentals: clean, testable, production-grade code
• 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

Nice to have

• Experience building or maintaining attribution / AdTech data systems
• Advanced Scala or functional programming experience
• Experience with attribution models (last-click, multi-touch, view-through)
• Experience with SQL-based transformation frameworks (Dataform, dbt) or data-mesh / data-product platforms
• Experience with Kafka or streaming systems
• Experience running LLMs or ML pipelines in production
• Being introduced by an AppsFlyer team member

We offer

• Equal opportunities for all employees