We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.

Job posting has expired

#alert
Back to search results

Big Data Engineer

Apple, Inc.
United States, California, Cupertino
July 06, 2022
Summary
Posted: Mar 11, 2022
Weekly Hours: 40
Role Number: 200305706
Apple's MediaTech Data Engineering team plays a critical role in supporting the concept of data driven analytics by providing data collection, warehousing and analytics at big data scale. As a Big Data Engineer, you will be developing and maintaining services to support our data driven analytics framework.
Key Qualifications
  • Experience in building large scale distributed systems in Java/Scala or other object-oriented languages with processing systems like Spark/Kafka
  • Hands-on experience with managing and monitoring large scale data collection and analytics pipelines at the application level
  • Experience in tuning and scaling Apache Kafka producer/consumer and Spark Structured Streaming applications
  • Ability to conduct performance analysis and troubleshoot large scale distributed systems
Description
Apple's MediaTech Data Engineering team is looking for a motivated Big Data Engineer to - Develop/enhance and maintain our streaming data pipeline and analytic components - Work closely with developers, data scientists and first level support teams - Provide occasional after hours on-call support to handle urgent critical issues by working with first level support teams
Education & Experience
BA/BS in CS or equivalent work history
Additional Requirements
  • Desired but not required:
  • Should be able to understand complex architectures and be comfortable working with multiple teams
  • Proficient with SQL
  • Hands-on experience with Docker/Kubernetes
  • Experience with managing applications running under YARN/Hadoop with HDFS
  • Working knowledge of Trino
  • Experience with Log mining frameworks like Splunk, Prometheus, etc
  • Experience with deploying and managing CI pipeline with Jenkins or similar tools

(web-54f47976f8-vn8xb)