苹果Senior Data Engineering Manager, Core Data & Intelligence
社招全职Software and Services地点:上海状态:招聘♡ 收藏
工作描述
Qualifications Minimum Qualifications 10+ years of engineering experience, including 3+ years leading data or software engineering teams. Track record of recruiting, developing leaders and building high-performing engineering cultures at scale. Deep architectural expertise in large-scale data systems, with strong instincts for technical excellence and software engineering best practices. Ability to move between hands-on technical detail and high-level strategy with equal fluency. Experience planning and executing large-scale platform modernization or migration programs. Solid grasp of the data lifecycle, including lineage, governance, privacy, retention and anonymity. Strong communication skills, with the ability to simplify complex topics and engage stakeholders at all levels, including senior engineering leadership and executive sponsors. Strong cross-functional collaboration skills, with a track record of influencing outcomes across diverse engineering organizations without direct authority. Bachelor's degree in Computer Science or Engineering, or equivalent w…
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包括英文材料
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Kafka+
https://developer.confluent.io/what-is-apache-kafka/
https://www.youtube.com/watch?v=CU44hKLMg7k
https://www.youtube.com/watch?v=j4bqyAMMb7o&list=PLa7VYi0yPIH0KbnJQcMv5N9iW8HkZHztH
In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.
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