3 Months ago • All levels • $143,100 PA - $264,200 PA
Data Analysis
Job Description
As a Data Engineer for Maps, you will be crucial in developing end-to-end analytics solutions that transform extensive data into valuable insights for Apple Maps. Your contributions will involve building scalable processing and storage solutions, impacting millions of Apple customers worldwide. You will partner with various teams to understand data needs, design and build data processing pipelines in a hybrid cloud environment, create data models, and develop new data processing systems. The role demands expertise in data quality monitoring and building data expertise.
Must Have:
Experience in building end to end solutions.
Experience implementing extendable frameworks on top of Spark.
Understanding of Spark execution and cloud computing.
Design and build data processing pipelines.
Add these skills to join the top 1% applicants for this job
spark
data-science
You will be contributing to our large scale data platform and providing end-to-end analytics solutions to transform rich data at Apple scale into actionable insights. Your work will help us build extensible processing and storage solutions that deliver data products for the entire Apple Maps. The insights from your data products directly impact millions of Apple customers world wide. We are looking for an engineer who loves to build end to end solutions for their customers and can produce high quality data artifacts at scale. The ideal candidate has experience implementing extendable frameworks on top of Spark and understands the inner workings of Spark execution and cloud computing. RESPONSIBILITIES: - Partner with Program, Data Science and Engineering -teams to understand Apple Maps analytics data needs - Design and build data processing pipelines in a hybrid cloud environment - Design data models for optimal storage and retrieval - Design and develop new data processing systems to enable quick and easy consumption and augmentation of data - Build data expertise and develop methods to monitor data quality
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