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Apple Data Engineer Apple Services Engineering 
Singapore 
384871940

20.07.2024
Description
This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets.
Minimum Qualifications
  • Bachelors in Computer Science/Engineering or related field
  • 3-5+ years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools.
  • Proven experience working on big data systems and distributed computing, such as Hadoop and Spark.
  • Experience with programming languages such as Scala, Spark or Python.
  • Experience maintaining a large software system and writing a test suite.
Preferred Qualifications
  • Proficiency in using query languages like SQL, Hive and SparkSQL.
  • Experience with entity-relationship modeling and understanding of normalization.
  • Experience with sessionization of clickstream and time-series data is a plus.
  • Familiar with the concepts of dimensional modeling.
  • Experience with Continuous Integration, Version Control such as git.
  • Experience with data visualization tools, such as GGplot, etc.
  • Deep understanding of data structures and common methods in data transformation.
  • Keep up-to-date with the newest technology trends.
  • Working with software engineering teams to improve data collection procedures.
  • Processing, cleansing, and validating the integrity of data used for analysis.
  • Engineer code that is durable and reliable.
  • Performance tune and optimize code as data grows and needs change.
  • Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams.
  • Showcase real passion for visualizing and making sense of data analysis.