1+ months

Data Engineer - Apple

Cupertino, California

At Apple, excellent ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Global Business Intelligence (GBI) team is seeking a hardworking Data Engineer to build high quality, scalable and resilient distributed systems that power apple's analytics platform and data pipelines.

Apple's Enterprise Data warehouse system cater to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Sales, Operations, Finance, AppleCare, Marketing and Internet services enabling business drivers to make critical decisions. We use a diverse technology stack such as Teradata, HANA, Vertica, Hadoop, Kafka, Spark, and Cassandra and beyond. Designing, Developing and scaling these Big Data technologies are a core part of our daily job. The team member will be able think outside of the box and should have passion for building analytics solutions to enable business in making time sensitive and critical decisions.

Requirements

Key Qualifications

  • We would like for you to have In-depth understanding of data structures and algorithms
  • We are looking for experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data
  • Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hadoop
  • We are seeking programming experience in building high quality software in Java, Python or Scala preferred
  • Experience in designing and developing ETL data pipelines. Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs
  • You will demonstrate excellent understanding of development processes and agile methodologies
  • Strong analytical and interpersonal skills
  • Enthusiastic, highly motivated and ability to learn quick
  • Experience with or advance courses on data science and machine learning is ideal
  • Work/project experience with Big Data and advanced programming languages is a plus
  • Experience developing Big Data/Hadoop applications using java, Spark, Hive, Oozie, Kafka, and Map Reduce is a huge plus

Categories

Posted: 2020-04-09 Expires: 2020-06-08

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Data Engineer - Apple

Apple
Cupertino, California

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