Apple Data Engineer in Santa Clara Valley, California

Data Engineer

Job Number: 53796159

Santa Clara Valley, California, United States

Posted: Dec. 1, 2016

Weekly Hours: 40.00

Job Summary

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

Key Qualifications

  • Should be an expert in Teradata or other MPP systems

  • Experience with design and development of ETL processes

  • Fluent in writing Advance SQLs

  • Must have good experience in development of unix shell scripts

  • Performance tuning of SQL queries

  • Experience in developing automated test scripts to help with regression testing

  • Sharp troubleshooting skills to identify and fix issues quickly.

  • Data modeling experience in building Logical and Physical data model

  • Experience in building Tableau Dashboard

  • Experience in programming (Python, Java, C++ or C#) is a plusDescription

Apple's Global Business Intelligence team is seeking an experienced Data Engineer to be part of our Apple Online Store reporting area, who will be responsible for delivering highly performance optimized reporting solutions , which will be used to manage Retail area .

The ideal candidate for this position will be able think out of the box and come up with solutions quickly to help business in making time sensitive decisions, have strong communication and analytical skills, passion for data visualization, always drives for excellence and self motivated.

Responsibilities include:

Work closely with Analytics, Product teams to understand data and analysis requirements

Performs data analysis on large dataset and complex data models

Develops new reports and perform ad-hoc reporting by working independently

Benchmark application performance periodically and fix performance issues

Design and build new dimensional data models and schema designs to improve accessibility, efficiency, and quality of data


BSCS or equivalent

Additional Requirements