Job Location: Seattle, WA
Summary
Posted: May 2, 2022
Weekly Hours: 40
Role Number:200251418
Help us grow our knowledge graph! We’re seeking a Sr Data Engineer to work on improving data workflows to enrich Apple’s knowledge graph. As an expert in developing software to manage large, dynamic datasets, you’ll be building and optimizing pipelines for data ingestion, cleaning, transformation and evaluation to support a rapidly scaling organization.
Key Qualifications
- 3 years of experience as a Software Engineer processing large-scale datasets
- Excellent programming skills — e.g. Python, Go, Java, Scala.
- Excellent problem-solving, analytic, and debugging skills
- Solid computer science and systems foundations; ability to quickly learn new domains
- Proven software development skills in UNIX-type OS (e.g. Linux, Mac OS)
- Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark, HBase)
- Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)
- Good communication skills and teamwork
- Passion for building great products
- Curiosity and desire to learn
Description
Apple is hiring a Sr Data Engineer for the Knowledge Platform team. You’ll be working at the frontier of AI, crunching massive amounts of data for our knowledge graph. In a fast-paced, continuously-integrated environment, you’ll design and implement robust, scalable data pipeline and solutions capable of processing an ever-growing data set while keeping latency low and quality high. You’ll work closely with fellow engineers to integrate new data, and deliver our knowledge products to cross-functional teams in Apple to power customer-facing scenarios. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues.
Education & Experience
BS or MS in Computer Science or a related field
Additional Requirements
- The following experience is nice to have, but not required:
- Data modeling
- Experience working with search engines
- Machine Learning
- Natural-language processing
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