Apple Ads is looking to solve exciting business problems by delivering data solutions that power ads and sponsorships across Apple Services, while respecting user privacy and delivering value for advertisers.
Requirements
- 4+ years of industry experience building scalable data pipelines and data platforms
- Strong computer science and data engineering fundamentals
- Expertise in programming languages such as Python/Java/Scala/Rust
- Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
- Expertise in relational databases and SQL
- Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
- Expertise in access management , building catalogs , query engines
Responsibilities
- Design, develop, and optimize distributed algorithms and data processing frameworks
- Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets
- Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
- Ensure data integrity, security, and compliance across all solutions
- Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products
- Build tools to integrate the data eco system
- Designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines.
Other
- You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions.
- You should have 4+ years experience in data engineering roles, ideally within the ads or media space.
- You will have an excellent understanding of scalable approaches and thrive working in Agile environments.
- The ability to be a good standout colleague under tight deadline constraints is key to success!
- Ability to communicate effectively with multi-functional technical and non-technical teams
