Job Details

Role Number: 200652370-0836

Summary

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and implement optimum data structures in the appropriate data management systems like Snowflake, Teradata, Oracle, Hadoop, and other Big Data technologies. Build robust data pipelines and models while ensuring process, cleanse, and verification for the data integrity is used for analysis. Perform complex data analysis with large volumes of data in Python, R, and Spark using experience with building reports and data visualizations with BOBJ, Tableau, ThoughtSpot, and Dremio. Build internal platforms to improve the accessibility of data, technologies, and computational resources to support machine learning and advanced analytics while working closely with enablement teams. Extract and process data using Python and Spark, develop complex SQL, and call restful Application Programming Interfaces (APIs) while collaborating with data scientists and business analysts to build new metrics and analysis tools. Drive data, artificial intelligence (AI)/machine learning (ML), and infrastructure solutions. Identify problem areas by suggesting and delivering scalable solutions. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $187,741.00 - $272,100.00/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Master’s degree or foreign equivalent in Computer Science and Engineering, Software Engineering, Computer Science, or a related field and 2 years of experience in the job offered or related occupation.

• 2 years of experience with each of the following skills is required:

• Using SQL for developing semantics required for building analytics and reporting solutions.

• Using PL/SQL to create aggregates and denormalized objects.

• Using scripting language, Python, to move data between different layers of Cloud-based data hubs and enterprise data marts.

• Developing reusable modules with coding standards, for effective reusability of those modules across multiple solutions.

• Developing ETL solutions which would adhere to data security and standards of the company in order to maintain Enterprise Data security

• Using Tableau for data visualizations and reporting

• Using Business Objects for detailed excel based reporting

• Using SQL & Python programming for data profiling & data analysis

Preferred Qualifications

• N/A

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) .