12 hours ago
Responsibilities
- Develop automated testing tools for near-real-time and batch data pipeline systems.
- Perform data profiling and analyze schemas, data interrelationships, and data flows.
- Write test plans and automated test cases, execute regression testing, and validate high-volume changes.
- Report and isolate bugs while collaborating with engineering, project management, and other teams.
- Implement QA automation for data pipelines using Java, Spark, and IntelliJ.
- Automate UI testing for iOS devices.
- Communicate findings clearly to stakeholders and third parties.
- Lead junior team members.
Requirements
- Bachelor’s, master’s, or doctoral degree in a STEM major such as science, physics, chemistry, computer science, mathematics, statistics, or engineering.
- At least 5 years of experience with Big Data technologies such as HDFS, AWS, Spark, Kafka, Voldemort, Cassandra, and Druid.
- At least 5 years of knowledge and experience coding in Python, Java, and/or Scala.
- At least 5 years of experience with Big Data query tools such as Hive, HDFS, Azkaban, SparkSQL, HiveQL, and CQL.
- At least 5 years of experience with near-real-time and batch data pipelines and black-box testing.
- At least 5 years of experience with client-server products, data quality, data profiling, and data integration tools.
- At least 5 years of experience with data migrations, data warehousing, and business intelligence.
- Strong analytical, problem-solving, communication, test-case design, and bug-diagnosis skills.
- Ability to work cross-functionally in a fast-paced environment and lead junior team members.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.