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Apple Data Engineer United States, California, Cupertino 478493971
14.12.2024
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Minimum Qualifications
- Master’s degree or foreign equivalent in Business Analytics and Project Management, Computer Science, Statistics, Machine Learning or related field and 5 years of experience in the job offered or related occupation.
- 2 years of experience with each of the following skills is required:
- Designing, developing, and managing insightful dashboards using Tableau to facilitate data and analytics requirements for Supply, Demand, Sales, and Operational aspects of business
- Creating, developing, implementing, and managing data architecture and analytics platforms to meet data and analytics requirements for Supply, Demand, Sales, and Operational aspects of business
- Developing ETL frameworks and real-time data processing solutions for data acquisition needs using KAFKA, Kinesis, Alteryx, Python, or Snowflake SQL
- Using knowledge of complex business requirements to build prototype systems with rapid turnaround time
- Evaluating new technology options to enable faster data processing, storage, and retrieval and conducting Proof of Concept (POC) using the same to upscale the analytics platform
- Using cloud technologies, such as Snowflake or AWS S3, to build robust analytics platforms supporting data analytical needs for Supply, Demand, Sales, and Operational aspects of business
- Streamlining data processes and providing data-driven insights with automated solutions using advanced analytics tools such as Python or Alteryx
- Demonstrating analytics lifecycle experience in converting and interpreting business issues and deploying the analytical outputs
Preferred Qualifications
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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