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Description
APPLE INC has the following available in Seattle, Washington. Collaborate with Data Science & Analytics team to analyze data, develop KPIs, and drive improvements to user-facing features. Collaborate closely with the Data Science & Analytics team to collect and analyze new business requirements, translate them to technical specifications, and design solutions to meet the analytics needs of stakeholders. Understand usage and configure data ingestion technologies developed at Apple to ingest data from various source systems. Design and develop data pipelines for Payments data products using ASE ADE tech stack to meet business requirements. Engage in design discussions and code reviews and explore new technologies to apply creative solutions. Develop code using Spark, Java, Scala, Kafka, Cassandra, SQL, Parquet, Apache Iceberg, and other Big Data technologies to build data pipelines for analytics. Integrate data from different source systems into the data pipeline. Review source code to debug defects and performance issues. Build quality, scalable data pipeline products that can handle existing and projected data volumes. Deploy data pipelines to production, monitor performance, and tune for optimal resource utilization. Address critical issues or bugs reported on production systems by reviewing, validating, and fixing bugs in the data pipeline code. Plan and develop proof of concepts with emerging technologies to meet evolving business requirements. 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 $137,259 - $204,000/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.
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Minimum Qualifications
- Master's degree or foreign equivalent in Computer Science, Computer Engineering or related field and 1 year of experience in the job offered or related occupation.
- 1 year of experience with each of the following skills is required:
- Developing data pipelines using object oriented design concepts in the programming language Scala.
- Designing data pipelines to be run in distributed systems such as clusters running Hadoop or externally on computer providers such as Amazon AWS.
- Using Databases and SQL to perform data analysis work.
- Developing tools to aid the development processes, such as dataset documentation, using Shell scripting.
- Using Python to develop tools to aid the development process.
- Using Cassandra as a data lookup to perform efficient data enrichments in the data pipeline.
- Building efficient data pipelines to handle large-scale datasets using distributed computing concepts with Apache Spark.
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 .
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