AIML - Sr Software Data Infrastructure Engineer - Data and ML Innovation
Description
As a Data Infrastructure Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline log data pipelines, and a flexible data insights infrastructure, applying your expertise in Spark and Python. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that process data and build metrics platform, which drive innovation. 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. We're looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing on both device and server side.
Minimum Qualifications
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. B.S.degree in Computer Science or Data Science.
Preferred Qualifications
Metrics infrastructure experience, including metrics sharing, management, version control. PhD or MS in Computer Science.
Average salary estimate
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