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Apple Sr Data Engineer iCloud United States, Texas 692464894
14.04.2025
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What you will do:* Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data* Own and evolve extremely rich datasets on iCloud products and platform interactions to power a wide variety of use cases* Build forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit iCloud needs.* Understand how key technical decisions will drive business outcomes and deliver/aid data frameworks and platforms that improve delivery with high-quality to those outcomes by partnering with cross functional teams.* Join a stunning team of data experts with diverse skill set, and deliver excellent solutions that better enable our decision-making process
- 8+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines.
- Highly proficient in at least one of Java, Python or Scala.
- Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills.
- Strong problem solver with meticulous attention to detail, capable of taking on loosely defined problems.
- Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
- Strong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approach
- Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
- MS or BS or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering.
- Experience with Cloud Computing platforms like Amazon AWS, Google Cloud.
- Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others.
- Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB).
- Experience building distributed, high-volume data services is a plus.
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