精選SDE崗位|Amazon、JPMorgan、Chewy持續熱招！

為大家獻上今天的精選崗位！

👇👇👇

【Amazon】

職位：Software Development Engineer, Consumer Domains

行業分類：Conglomerate

公司規模：1,541,000 (December 2022)

工作地點：USA, MA, Cambridge

職位要求：

職位申請連結（請直接複製至瀏覽器開啟）

https://www.amazon.jobs/zh/jobs/2963387/software-development-engineer-android-apps

【JPMorgan Chase & Co】

職位：Java Software Engineer II

行業分類：Managed healthcare&Health insurance&Pharmacy

公司規模：288,474 (2022)

工作地點：Financial services, the largest bank in the USA

職位要求：

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Demonstrable ability to code in Java
Proficiency in Java/J2EE and REST APIs, Web Services and experience in building event-driven Micro Services
Experience in Spring Framework, Spring Boot.
Experience in developing standard unit testing frameworks, automated functional tests, debugging, and maintaining code.
Working proficiency in developmental toolsets like GIT/BitBucket, JIRA, Maven.
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.

職位申請連結（請直接複製至瀏覽器開啟）

https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210620705/?mode=location&sortBy=RELEVANCY

【Chewy】

職位：Data Engineer I

行業分類：E-commerce, online retailer of pet thing

公司規模：21,300 (January 2022)

工作地點：Plantation, Florida, United States

職位要求：

Bachelor of Science or equivalent experience in Computer Science, Engineering, Information Systems or related field.
Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert partners in a simple and understandable way.
Strong knowledge of SQL and relational databases
Python programming skills for data processing and pipeline development
Experience with ETL (Extract, Transform, Load) processes
Basic knowledge of data warehousing concepts
Familiarity with cloud platforms (especially AWS services like S3, Lambda, Airflow)
Version control experience (Git)