Senior Data Infrastructure Engineer
2 days ago
We are seeking a highly skilled Data Infrastructure Engineer to join our Data and ML Innovation organization at Apple. As a key member of our team, you will play a pivotal role in designing and implementing a robust data processing framework to streamline log data pipelines and build a flexible data insights infrastructure.
With a strong background in large-scale data processing and a passion for working with data, you will collaborate closely with our Data Scientists and Analysts, as well as other Engineering teams, to transform massive data into valuable, actionable datasets. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the existing framework's capabilities to new user scenarios and innovative machine learning applications.
Responsibilities- Design and implement a unified, groundbreaking data insights framework and data processing framework, powered by technologies such as Spark or Iceberg.
- Collaborate closely with teams with varied strengths to transform massive data into valuable, actionable datasets.
- Build metrics platform that fuel our innovative features and future machine learning area.
- Optimize performance, ensure data quality, and contribute to a long-term vision that extends the existing framework's capabilities.
- Demonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or Scala.
- Understanding of distributed computing principles, data engineering, and DevOps standard processes.
- Proven programming skills in Python and Scala.
- A genuine passion for working with data and solving complex problems at scale, in cloud platforms (AWS, GCP).
- Experience with machine learning data mining.
- Master's or Ph.D. in Computer Science or Data Science.
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