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Senior Data Engineer

Austin, TX, United States

Senior Data Engineer

Austin,Texas,United States

Operations and Supply Chain

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 Austin, Texas. Utilize SQL to implement infrastructure projects and handle engineering tasks to help build next generation of semantic layers solutions. Customize data sources to fund operational assets including dashboards, anomaly detection models and predictive analysis. Understand business requirements, build design document, create prototypes, impact assessment, and playback the impact statement. Assist the replication of real world data modeling in sandbox environment to build IT scripts utilized in the User Acceptance Testing (UAT) process, allowing UAT staff to run the tests in a realistic and safe space. Work closely with data warehouse architects and software developers to generate flawless business intelligence including producing actionable reporting from both enterprise (for example Core) and custom tools (for example Consignment management) for end users. Use SQL, Tableau and Python to provide break-fix support for production analytic solutions, in order to keep the current infrastructure operational and the business running. Present results of analysis to business units, utilizing both real-time strategies (for example using Webex, Tableau, Keynote or Executive Presentation) and automated functionality tool such as Python-drive alerting systems that help push actionable data when actions is needed by the business. 40 hours/week. Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

Minimum Qualifications

Master's degree or foreign equivalent in Computer Science, Mathematics, Economics, Operations Research, Industrial Engineering or related field and 3 years of experience in the job offered or a related data engineering occupation. Alternatively, the employer will also accept a Bachelor’s degree or foreign equivalent in Computer Science, Mathematics, Economics, Operations Research, Industrial Engineering or related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related data engineering occupation

Position requires 3 years of experience in all of the following areas:

Data modeling using SQL

Database management utilizing ETL

Handle subscription data models

SQL in the Snowflake

Position requires 2 years of experience in all of the following areas:

Lead data analytics, data transformation and data management projects

Dimensional Modeling

Tableau, ThoughtSpot or Github

Big Data

Data Analytics

Position requires 1 year of experience in all of the following areas:

Predictive analytics

Statistics

Machine Learning

Data Science

Key Qualifications

Preferred Qualifications

NA

Education & Experience

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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

Apple Footer

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. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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