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Software QA Engineer - Apple Media Products

Software QA Engineer - Apple Media Products

Seattle,Washington,United States

Software and Services

+ Day to day work involves understanding payments data pipeline systems developed by engineering teams for AMP products.

+ Carry out data profiling and understand schema, data interrelationships, and data flows.

+ Demonstrated skills with SparkSQL, Hadoop, Python or Scala.

+ Document test plans, writing test case automation and working closely with other teams (engineering, project management, etc.), bug reporting and isolation

+ This position demands a self-motivated individual with strong technical and communication skills who can contribute in a team environment.

+ Be dynamic and prepared to test/regress a high volume of changes on a day-to-day basis.

+ Automate UI testing for iOS devices using Python libraries

+ Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties

+ Interest in AMP products, improving AMP data, and learning AMP tools and technologies

+ Comfortable and adaptable in a fast-paced environment.

+ Strong analytical, problem solving and creative thinking skills.

+ Possess 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.

+ Leading junior team members.

+ Results-oriented, persistent, and meticulous.


The Apple Media Products (AMP) 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 a Software Development Engineer who is interested in AMP products, wants to make a difference to them and to Apple as a whole, improving the data quality, and learn AMP cutting-edge tools and technologies. This role involves developing automated testing tools to test and validate data pipeline systems.

**Education & Experience**

BS/BA/MS/MA/PhD degree in any of the STEM majors (Sciences/Physics/Chem/CS/Math/Engineering).

**Additional Requirements**

+ 3+ yrs of Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Voldemort, Cassandra, Druid)

+ 3+ yrs Knowledge in Python, Java and/or Scala. Interest and experience on coding is a must for this position.

+ 3+ yrs experience with Big Data query tools (e.g. Hive, HDFS, Azkaban, SparkSQL, HiveQL, CQL)

+ 3+ yrs experience Client-Server products Knowledge in Data Quality, Data Profiling and Data Integration tools.

+ 3+ yrs experience in data migrations, DataWarehousing, Business Intelligence

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