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基本資訊

上班地點: 桃園市龜山區文化二路202號4樓  (林口華亞科技園區)
職務類別: 軟體設計工程師 全職
需求人數: 1至2 人
更新日期:

工作內容

Come join the Software Engineering team at Hyve!

Hyve Solutions specializes in providing our customers with purpose-built data center servers and solutions. Help us design server platforms at scale.
We are looking for talented software data engineers to join our team. If you love expressing your creative passion in software, this team is for you. Creative solutions to complex software problems are what we accomplish every day.

工作待遇: 待遇面議 (經常性薪資達4萬元或以上) 薪資行情

福利制度

Hyve Solutions intends to provide the following employee benefit program, subject to legal requirements and minimum headcount requirements needed to implement such group benefit plans.
1. Bonus plan.
2. Group Life, Group AD&D, Group Critical Illness, Group Accidental Medical Reimbursement, Group Hospital & Surgical, and Group Cancer Indemnity.
3. Hyve recognizes Holidays.
4. Flexible office hour
6. Comprehensive training program - Oversea
7. Holiday celebrations
8. Friendly working environment

工作型態

出差外派: 無需出差外派
上班時段: 日班
休假制度: 依公司規定
管理責任: 不需負擔管理責任

條件要求

接受身份: 上班族、應屆畢業生、外籍人士、原住民【相關法令】、二度就業
可上班日: 不限
工作經歷: 2年以上
學歷要求: 大學、碩士
科系要求: 數學及電算機科學學科類、電機電子工程相關
語文條件: 英文 -- 聽 /精通、說 /精通、讀 /精通、寫 /精通
擅長工具: LinuxUNIXOOPJavaPythonETLMySQLWeb Master/Developer
工作技能: 軟體工程系統開發軟體整合測試軟體程式設計資料庫程式設計資料庫軟體應用
其他條件:
Basic Qualifications
* 2+ years of hands on experience in software development, including design, implement, debugging and support
* Experienced with at least one modern language such as Python, Java, Go..
* Familiar with version tools such as Git.
* Experience with CI/CD system
* Experience with Docker technology
* Proficient in Linux or Unix-Like OS
* Problem-solving ability and object-oriented design skills
* Demonstrated experience in database skills such as SQL, No SQL or data modeling.
* Experience developing and maintaining production ready software or online system.

Preferred Qualifications
* Experience building and optimizing data pipelines, architectures and data sets.
* Assemble large, complex data sets that meet business requirements
* Experience using some of the following tools is a plus
* Hadoop, MinIO, Clickhouse
* Spark, Presto
* Airflow

聯絡方式

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