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embedded software engineer

data engineer

Key Responsibility/關(guān)鍵職責(zé):
- Design develop next-generation industry inspection system.
- Participate in the full cycle of software agile develop process.
- Responsible fembedded software item detail design related document.
- Co-work with cross function engineer to design implement cross function features.
- 設(shè)計(jì)和開發(fā)下一代工業(yè)檢測設(shè)備。
- 參與軟件敏捷開發(fā)的全流程。
- 負(fù)責(zé)軟件模塊的詳細(xì)設(shè)計(jì)和相關(guān)文檔撰寫。
- 和其他部門工程師一同工作來設(shè)計(jì)和實(shí)現(xiàn)跨職能功能。
Education Experience/教育和工作經(jīng)驗(yàn):
- Bachelabove with majin CS, EE, Automation relative.
- Bachel3+ years, Master 2+ years of software development experience.
- 計(jì)算機(jī)、電子電氣、自動化相關(guān)專業(yè)本科及以上學(xué)歷。
- 本科3年以上軟件開發(fā)經(jīng)驗(yàn),碩士2年以上軟件開發(fā)經(jīng)驗(yàn)。
Qualification/任職要求:
- Proficient in C/C++ as plus.
- Good knowledge in MCU hardware driver operation theory.
- Experienced in STM serial MCU as plus.
- Experienced in serial port, CAN, IIC, SPI programing.
- Experienced in uC/OS-II as plus.
- Experienced in unit test.
- Experienced in Agile, Scrum as plus.
- 熟練掌握C/C++優(yōu)先考慮。
- 具有MCU和硬件工作原理的良好知識。
- 具有STM系列MCU的工作經(jīng)驗(yàn)優(yōu)先考慮。
- 具有串口,CAN,IIC和SPI編程經(jīng)驗(yàn)。
- 具有uC/OS-II編程經(jīng)驗(yàn)優(yōu)先考慮。
- 具有的單元測試開發(fā)能力。
- 具有敏捷開發(fā)經(jīng)驗(yàn)以及了解Scrum優(yōu)先考慮。
Personal Profile/個人特質(zhì):
- Integrity/誠實(shí)守信
- Strong Ownership/強(qiáng)烈的責(zé)任感
- Self-motivated Time Urgency/自驅(qū)動和時間緊迫感
- Teamwork Empathy/團(tuán)隊(duì)合作和同理心
- Open, Innovative Fast learning/開放、創(chuàng)新和快速學(xué)習(xí)
- Clear thinking Resourceful/思路清晰
更新于 2025-12-31
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.

AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.

Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.

Basic qualifications

1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one more scripting language (e.g., Python, KornShell)

Preferred qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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工資待遇區(qū)別

崗位名稱
平均工資
較上年
¥25.8K
--
說明:embedded software engineer和data engineer哪個工資高?embedded software engineer高于data engineer。embedded software engineer平均工資¥31.8K/月,2026年工資¥K,data engineer平均工資¥25.8K/月,2026年工資¥K,統(tǒng)計(jì)依賴于各大平臺發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會影響客觀性,僅供參考。

就業(yè)前景區(qū)別(歷年招聘趨勢)

崗位名稱
2025年職位量
較2024年
說明:embedded software engineer和data engineer哪個就業(yè)前景好?embedded software engineer2025年招聘職位量 24,較2024年下降了 8%。data engineer2025年招聘職位量 126,較2024年增長了 14%。統(tǒng)計(jì)依賴于各大平臺發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會影響客觀性,僅供參考。

學(xué)歷要求區(qū)別

本科 92.3%
不限學(xué)歷 7.7%
本科 89.1%
碩士 7.3%
不限學(xué)歷 3.6%
說明:embedded software engineer和data engineer的區(qū)別? embedded software engineer需要什么學(xué)歷?本科占92.3%,不限學(xué)歷占7.7%。 data engineer需要什么學(xué)歷?本科占89.1%,碩士占7.3%,不限學(xué)歷占3.6%。

經(jīng)驗(yàn)要求區(qū)別

3-5年 69.2%
5-10年 23.1%
不限經(jīng)驗(yàn) 7.7%
5-10年 34.5%
3-5年 29.1%
不限經(jīng)驗(yàn) 20.0%
1-3年 14.5%
應(yīng)屆畢業(yè)生 1.8%
說明:embedded software engineer和data engineer的區(qū)別? embedded software engineer經(jīng)驗(yàn)要求哪個最多?3-5年占69.2%,5-10年占23.1%,不限經(jīng)驗(yàn)占7.7%。 data engineer經(jīng)驗(yàn)要求哪個最多?5-10年占34.5%,3-5年占29.1%,不限經(jīng)驗(yàn)占20.0%,1-3年占14.5%,應(yīng)屆畢業(yè)生占1.8%。

embedded software engineer與其他崗位進(jìn)行PK

data engineer與其他崗位進(jìn)行PK