Data Test Engineer - Apple Media Products Analytics
Santa Clara Valley (Cupertino), California, United States
Software and Services
The Apple Media Products Analytics QA team is responsible for the Quality and integrity of the data collected and reported on customer experience data. Responsibilities include; writing test descriptions, performing functional and regression tests, writing test case automation while working closely with other teams. We are seeking Data Test Engineers to contribute to the client (iOS/tvOS/macOS) to server data validation.
- Comfortable and adaptable in a fast-paced environment.
- Strong analytical, problem solving and creative thinking skills.
- Strong commitment to technical quality assurance as a key part of the software development cycle. Willingness to work cross-functionally.
- Results-oriented, persistent, and meticulous.
- Understanding of HDFS and other Big Data technologies
- Experience with Big Data query tools (e.g. Hive, Spark)
- Familiarity with in Python or Scala and SQL
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- A desire to work in a dynamic and meaningful work environment.
- You are upbeat, adaptable, and results oriented with a positive attitude
- You bring passion and dedication to your job and are committed to our vision and supporting the developer community
Day to day work involves bug reporting and isolation, test plan documentation, writing test case automation and working closely with other teams (engineering, project management, etc.). This position demands a self-motivated individual with strong technical and communication skills who can contribute in a team environment. Possess exceptional analytical skills in test case design and bug diagnosis. Be 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. Candidate should possess the ability and/or interest to implement automated tests.
Education & Experience
Bachelors degree or equivalent relevant experience