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Sr. Software Data Engineer - Apple Media Products Job Opening In Cupertino – Now Hiring Apple

Sr. Software Data Engineer Apple Media Products

    United States Jobs Expertini Expertini › United States › Jobs › Cupertino › Other General › Sr. Software Data Engineer Apple Media Products

Job description

**Weekly Hours:** 40
**Role Number:** 200576498-0836

**Summary**
Apple is seeking a highly skilled data engineer to join the Data Engineering team within Apple Products: Apple Music, App Store, Podcast, iTunes and more.

The team is data-driven engineers, collaborating with products team to build user-facing features that primary impacting worldwide customers.

We are looking for a dedicated engineer who is motivated by challenging problems and enthusiastic about data.

This is a unique opportunity to join a focused team and work collaboratively with other groups to create significant impact features


**Description**
Apple is seeking a highly skilled data engineer to join the Data Engineering team within Apple Products: Apple Music, App Store, Podcast, iTunes and more.

The team is data-driven engineers, collaborating with products team to build user-facing features that primary impacting worldwide customers.

We are looking for a talented engineer who is motivated by challenging problems and enthusiastic about data.
This is a unique opportunity to join a focused team and work collaboratively with other groups to create significant impact features

**Minimum Qualifications**

+ At least 8+ years and Bachelor’s degree, or equivalent work experience in Engineering, Computer Science, Business Information Systems, or similar.
+ Extensive experience with distributed computing technologies like Hadoop and Spark.
+ Proficiency in Scala, Java, and SQL.
+ Strong data analysis skills, including the ability to analyze large-scale datasets and possess a keen data sense.
+ Familiarity with data visualization tools, excellent analytical and critical thinking skills, and the ability to communicate complex insights effectively.
+ A background in data science or statistics, with the ability to provide scientific support to the team.
+ Expertise in designing, implementing, and supporting highly scalable data systems and services.
+ Expertise in building and running large-scale data pipelines, including distributed messaging systems like Kafka, data ingestion from various sources to feed batch and near-realtime or streaming compute components.
+ A solid understanding of data modeling and architecture optimized for big data patterns, such as efficient storage and querying on HDFS.
+ Experience with distributed storage and network resources, including hosts, clusters, and Data Centers, to troubleshoot and prevent performance issues.

**Preferred Qualifications**

+ Data analysis and data science background are preferred.
+ Familiarity with Tableau, Apache Iceberg tables, Docker, Kubernetes, and Apache Airflow is also advantageous.

**Pay & Benefits**
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 $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

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.

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) .


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Apple interview tips for Sr. Software Data Engineer Apple Media Products

Here are some tips to help you prepare for and ace your Sr. Software Data Engineer Apple Media Products job interview:

Before the Interview:

Research: Learn about the Apple's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Sr. Software Data Engineer Apple Media Products interview at Apple, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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