You should have 3+ 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!
- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond.
3+ 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
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)
Experience building and scaling systems on premise and in the cloud
Strong technical skills with proven experience developing and supporting scalable data infrastructure
Ability to communicate effectively with multi-functional technical and non-technical teams
Prior experience in advertising industry is a huge plus!
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.