Summary
Posted: Sep 9, 2024
Role Number:200565765
The Data Governance Solutions team, part of Apple Data Platform, is focussed on building cutting edge solutions to support Apple's Data Governance and Compliance requirements for all data ingested, processed and stored within Apple. Our mission is to provide robust, reliable and easy to use tooling and solutions to enable full enforcement of Privacy and Comliance requirements keeping Apple's users' data private and secure at all times. Our team works on solving complex problems in the space of PII detection and Data Quality violation detection, incorporating state of the art Gen AI based LLMs for training and inference. Are you a passionate about building scalable, reliable and maintainable Governance solutions and solving data problems at scale? Come join us and be part of the Data Infrastructure journey.
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Description
This role involves managing petabytes of data and designing and implementing new frameworks to build scalable and efficient data processing workflows. The successful candidate will be responsible for ensuring the completeness of all data ingestion and full metadata enrichment covering data classification annotations, dataset descriptions and all essential required tagging, while optimizing for performance and scalability. You will also be responsible for monitoring the performance of the system, optimizing it for cost and efficiency, and solving any issues that arise. This is an exciting opportunity to work on cutting-edge technology and collaborate with cross-functional teams to deliver high-quality software solutions. The ideal candidate should have a strong background in software development, experience with public cloud platforms, and familiarity with distributed databases.
- 10+ years of experience in software engineering with deep knowledge in computer science fundamentals.
- Strong in data structures and algorithms. Must write good quality code with test cases and review PR's in fast faced environment.
- Fluent in writing code using Python
- Extensive experience building ingestion ETL pipelines
- Expert in one or more functional or object-oriented programming languages (Scala, Java)
- Experience or knowledge in distributed data systems like Hadoop, Spark, Kafka or Flink.
- Strong collaboration and communication (verbal and written) skills
- BS, MS, or PhD degree in Computer Science or equivalent
Preferred Qualifications
- Experience or knowledge in public cloud is a big plus, preferably AWS.
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 $175,800 and $312,200, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More
- 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.