Senior Data Engineer - BPR Insights, Enterprise Technology Services
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? We are 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 our Analytics Team successful and fun!
Description
The Insight Analytics Engineering team serves as Apple's central data manufacturing analytics needs, designing and maintaining enterprise-scale data pipelines and real-time analytics platforms that process petabytes of data daily. We partner with all business functions-from Hardware Engineering. Operations, AppleCare -delivering custom data engineering solutions, self-service analytics tools, and automated reporting systems that enable data-driven decision making.","responsibilities":"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 relevant stories with data.
Stay ahead of the latest trends and technologies in data analytics, and cloud computing
Perform complex data analytics in new and innovative ways and demonstrating your creativity to go beyond current tools to deliver amazing solutions.
Work with high degree of independence, but supported by a broad technical team
Preferred Qualifications
Ability to work with various multi-functional teams to gather input and provide guidance
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Ability to present information to peers and senior management
Ability to bring creative, simple and logical approaches to complex problems
Technical minded with the ability to learn new technologies
Minimum Qualifications
Bachelors/Masters in technical field (math, statistics, engineering, computer science, analytics, or similar)
8+ years of hands-on experience with data analytics in large scale volumes in Cloud environment AWS and GCP.
Experience with Spark, SQL, Iceberg, Trino and Big Data systems and tools
Programming skills in Scala, Java, Python, Jupyter Notebook
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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