[職務概述]
研華的數據中台已具一定規模,正邁向下一階段的效能優化與架構升級。邀請你加入一個數據驅動的團隊,參與核心資料平台的建置與優化,並有機會:
深入大型資料流架構,解決高效能、穩定性的挑戰。
自主挖掘現有系統的改進空間,提出並實作優化方案。
與跨部門緊密合作,確保數據服務能支撐多元業務場景。
我們期待一位細心、主動、有推進力的工程師,不僅完成交付,也能驅動團隊持續前進。
[必備條件]
3-5 年資料工程或相關經驗。
熟悉資料流架構設計,具備 ETL / ELT 開發經驗。
熟練資料 API 串接設計與實作,有第三方 API 整合經驗。
熟悉資料庫技術(SQL / NoSQL),具備資料庫效能調校及維運經驗。
具備 Python 或 .NET Core的實作經驗,作為主要開發工具。
良好的專案管理與溝通能力,能主動推動專案並與多方協作。
[加分項目]
有分散式架構經驗(如 Kafka、Spark、Kubernetes 等)及其應用經驗。
具備資料安全、權限控管經驗。
有實務雲端資料平台經驗(如 AWS, Azure, GCP)。
有數據治理、資料血緣、品質管理經驗。
曾負責/主導中大型資料專案,具備「從 0 到 1」或「持續優化」的推動能力。
[Summary]
Advantech data platform has already reached a significant scale and is now moving toward the next phase of performance optimization and architectural enhancement. You will join a data-driven team to participate in the construction and optimization of our core data platform, with opportunities to:
Dive deep into large-scale data architectures to tackle challenges in performance and stability.
Proactively identify areas for improvement within existing systems, propose, and implement optimization solutions.
Collaborate closely with cross-functional teams to ensure data services effectively support diverse business needs.
We are looking for an engineer who is detail-oriented, proactive, and capable of driving projects forward—someone who not only delivers but also pushes the team to continuously improve.
[Requirements]
3-5 years of experience in data engineering or related fields.
Familiar with data pipeline architecture design; experience in ETL/ELT development.
Proficient in designing and implementing data API integrations, including third-party API integrations.
Solid experience with database technologies (SQL / NoSQL), including performance tuning and maintenance.
Hands-on experience with Python or .NET Core as primary development tools.
Strong project management and communication skills, with the ability to independently lead projects and collaborate across teams.
[Nice to Have]
Experience with distributed architectures (e.g., Kafka, Spark, Kubernetes) and their practical applications.
Knowledge of data security and access control.
Practical experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
Experience in data governance, lineage, and quality management.
Proven track record in leading or being a key contributor to medium-to-large-scale data projects, with the ability to drive initiatives from the ground up or continuously enhance existing systems.