Job Details

Role Number: 200642687-3956

Summary

Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate complex challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As part of this group, you’ll play an integral role in ensuring our day-to-day financial health. You and your team will support Apple’s growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. You’ll also collaborate with Apple teams across the world to develop more effective investment strategies and risk management. Finance is essential to upholding our global commitment to excellence, and it is directly responsible for shaping the company’s future. Join us, and you’ll have a meaningful role in continuing Apple’s legacy of efficiency and success.

Description

We are looking for a skilled Data Engineer with a proven track record in building and troubleshooting issues in complex data sets from multiple data sources. This role requires candidate with hands-on expertise in advanced SQL scripting, ETL methodologies, data visualization, data validations, and problem-solving skills to uncover insights and drive business decisions.

Minimum Qualifications

• Minimum of 5 years of working experience as a data engineer, or BI data testing and data validation experience

• Familiarity with ETL tools (e.g., Dataiku) version control tools (e.g., GitHub), event streaming platforms (Kafka), and deployment tools (e.g., Jenkins)

• Proficiency in PL/SQL scripting and scripting languages such as Python

• Demonstrated experience in data visualization and reporting tools, particularly Tableau

• Experience in data modeling, normalized database design, and business metrics application

• Exceptional data-driven understanding with the ability to draw insights, uncover patterns, and solve complex business problems through data analysis

• Solid experience in data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of responsive and highly interactive data products

• Experience delivering end-to-end analytical projects, from scoping to presentation

• Experience in data wrangling and ensuring data integrity across various projects

Preferred Qualifications

• Strong communication skills with meticulous attention to detail for translating data insights into business impact

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .