Senior Data Engineer – BPR Insight – 200557178 -Elk Grove, California, United States

Apple

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.

Are you a Senior Data Engineer with a passion for very large data sets analytics and can provide solutions to real business problems? Or perhaps you thrive on performing data discovery and creating proof of concepts? Do you want to be part of an energetic team critical to the success of Apple? The Insight Analytics Engineering team is looking for a Senior Data Engineer that can quickly summarize complex problems, and soar in a dynamic, high-energy environment. Your rock solid integrity, teamwork and ability to work independently are valued and encouraged. Having the ability to quantify your decisions, critical thinking and using your gut instinct are all key qualities that make ourAnalytics Team successful and fun.

Design, develop and maintain robust pipelines to support various LOBs analytics needs in multi-petabyte cloud environment.
Perform in-depth analysis on our Analytics platform to help solve hard business questions.
Developing maintain data models and architecture to support analytics reporting.
Work side by side with exceptional people that run, optimize and scale our environment and help to tell meaningful stories with data.
Stay current with latest trends and technologies in data analytics, and cloud computing
Perform complex data analytics in new and innovative ways and leveraging your creativity to go beyond current tools to deliver amazing solutions.
Work with high degree of independence, but supported by a broad technical team.

8+ years of hands-on experience with data analytics in large scale volumes in Cloud environment AWS and GCP.Experience with Spark, SQL, Trino and Big Data systems and toolsProgramming skills in Scala, Java, Python, or similar languagesExperience with Iceberg and high performant queries on S3

 

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