About The Position

The Apple Services Analytics Engineering QA team is responsible for ensuring the Quality and integrity of the data collected and reported on customer experience data. We are seeking Mid-level Data Test Automation Engineers who are interested in ASE products, want to make a difference to them and to Apple as a whole, improving the data quality, and learn cutting-edge tools and technologies. This role involves developing automated testing tools to test and validate near real-time (NRT) and batch data pipeline systems.

Requirements

  • BS/BA/MS/MA/PhD degree in any of the STEM majors (Sciences/Physics/Chem/CS/Math/Statistics/Engineering).
  • 5+ yrs of Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Voldemort, Cassandra, Druid)
  • 5+ yrs Knowledge in Python, Java and/or Scala.
  • Interest and experience on coding is a must for this position.
  • 5+ yrs experience with Big Data query tools (e.g. Hive, HDFS, Azkaban, SparkSQL, HiveQL, CQL)
  • 5+ yrs experience with near real-time (NRT) and Batch data pipelines
  • Experience black box testing
  • 5+ yrs experience Client-Server products
  • Knowledge in Data Quality, Data Profiling and Data Integration tools.
  • 5+ yrs experience in data migrations, DataWarehousing, Business Intelligence

Nice To Haves

  • Self-motivated individual with strong technical and communication skills who can contribute in a team environment.
  • Dynamic and prepared to test/regress a high volume of changes on a day-to-day basis.
  • Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties.
  • Comfortable and adaptable in a fast-paced environment.
  • Strong analytical, problem solving and creative thinking skills.
  • Exceptional analytical skills in test case design and bug diagnosis.
  • Good soft skills esp. listening and interfacing with stakeholders.
  • Dedication to user-focused design & high quality technology.
  • Strong commitment to technical quality assurance as a key part of the software development cycle.
  • Willingness to work cross-functionally with other teams.
  • Results-oriented, persistent, and meticulous.

Responsibilities

  • Understanding near real-time (NRT) and batch data pipeline systems developed by engineering teams for ASE products.
  • Carry out data profiling and understand schema, data interrelationships, and data flows using SparkSQL, HiveQL, Jupyter.
  • Document test plans, writing test case automation and working closely with other teams (engineering, project management, etc.), bug reporting and isolation.
  • Implement automated tests for NRT and batch data pipelines using QA automation tools, Java, Spark, IntelliJ.
  • Automate UI testing for iOS devices.
  • Leading junior team members.
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