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Apple Finance Data Engineer United States, Texas, Austin 766410568
Today
Description
• Work closely with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load and format data from the external sources, internal systems and the data warehouse.• Develop, test, deploy, monitor, document and troubleshoot data pipelines and interfaces• Collaborate with other engineers to define and adopt best practices for data and machine learning engineering • Identify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
Minimum Qualifications
- 5+ more years of experience within Data Engineering
- Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline
Preferred Qualifications
- Effective Python, shell and SQL programmer
- Hands on experience with database design and architecture in cloud data warehouses (Snowflake) and lakehouse environments (s3)
- Ability to implement end to end encryption and decryption policies as part of sensitive data pipelines and semantic views or other data sources
- Experience with the data development lifecycle and its associated CI/CD and version control components and tooling (Jenkins, Git, Other)
- Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes
- Experience with streaming interfaces and pipelines a plus
- Ability to implement data and automation services via RESTful interfaces
- Appreciation for data quality and validation in every pipeline
- Finance and accounting process 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.
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