23 days old

Data Engineer, Business Process Reengineering

Apple, Inc.
Cupertino, CA 95014
  • Job Code
    200156959
Summary

Summary

Posted: Mar 6, 2020

Weekly Hours: 40

Role Number:200156959

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and custome...Summary

Summary

Posted: Mar 6, 2020

Weekly Hours: 40

Role Number:200156959

Imagine what you could do here. At Apple, new 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. Team up with Apple, one of the most influential technology leaders in the industry.

The Finance Business Process Reengineering organization supports every Apple Finance function worldwide.

Our Finance Data team enables the Finance organization by providing quality data accessibility, analytics, reporting and automation services. We are looking to expand capabilities in the areas of data privacy, high-performance computing, advanced analytics and general business intelligence.

We are seeking a Data Engineer to join our organization. You will help architect, maintain and continually improve data analytics and automation capabilities. Sitting inside a business unit, you must adapt to varied and shifting needs. You will be working with business users, Apple IS&T developers, and data analysts on your team to deliver complete, accurate, well-secured data that enables reporting and analytics across all Finance functions. Comfort with and ability to learn and perform a wide variety of development and engineering tasks combined with knowledge of Finance business processes sets you apart.

Key Qualifications

  • To succeed in this role, several of the following should apply:
  • 5+ years hands-on experience in data architecture, relational database/data warehouse development
  • Very strong SQL skills, database development and data warehousing fundamentals; Teradata experience a big plus
  • Excellent with Python, shell scripting
  • Experience with various database technologies including Teradata, Oracle, MySQL, PostgreSQL, MongoDB, and other NoSQL databases
  • Experience with scripted SQL interaction (PL/SQL, BTEQ)
  • Experience with Git UI and/or command line
  • Experience developing performant, secured data sources for Tableau
  • Experience sourcing and organizing Corporate Finance and Accounting data
  • Experience leading complex projects from inception through production support
  • Excellent oral and written English communication skills
  • Experience preparing data for data science applications a plus
  • Experience preparing data for and using traditional BI tools like Business Objects, Essbase, Crystal, etc, a plus
  • Experience applying data encryption and data security standards a plus
  • Experience working with virtual/cloud technologies AWS/Kubernetes/Docker a plus
  • Able to quickly learn new technologies

Description

Most of the data supporting our customers resides on Apple's Teradata date warehouse, much of your role will involve identifying and combining data in new ways to help answer business questions. Doing this in an efficient, scalable manner will be key to your success. When the necessary data is not available on an enterprise system or is generated offline by business users or third parties, you must develop methods to reliably source, validate, and integrate the data onto an enterprise database platform.

Much of the end analysis and consumption of the team's work is accomplished in Tableau. You should have a deep understanding of the various approaches of providing data for analysis in Tableau, and which to use under which circumstances. You should also be proficient in Tableau to be able to review users' content for optimization as well as to build and maintain Tableau workbooks used for internal monitoring, validations, etc.

In addition, you will help architect, develop and maintain our analytics platform infrastructure. Certain environments will emphasize security and data privacy. The machine learning platform will require scalability, integrity, and API interactivity for analysts to train and predict on their models. You must learn and understand a variety of available IS&T solutions, when and how to use them, and what to build ourselves.

You will need a broad background with exposure to many different technologies and functions. This paired with a proven record of excellent problem solving and a sharp, open mind will be more important than deep expertise in any one area.

Education & Experience

Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required

Additional Requirements

Posted: 2020-03-07 Expires: 2020-04-06

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Data Engineer, Business Process Reengineering

Apple, Inc.
Cupertino, CA 95014

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