面議(經常性薪資達4萬元或以上) 新北市新店區 工作經歷不拘 今天
【全球智慧製造】
你知道Garmin的智慧工廠嗎? 你知道火星上出現過Garmin的產品嗎? 你知道飛行員總是配戴Garmin的手錶上天空嗎?
全球智慧製造服務計畫(GSMS)透過AI、機構、電控、資料科學、IoT、大數據等技術,將智慧製造系統,即時控制與調整全球生產系統,且在地化支援亞洲、美洲、歐洲多個國家
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【Introduction】
With increasing velocities, varieties and complexity of data at Process Integration (PI), the PI Data Engineering Team becomes the important role supporting existed or new projects using big data techniques to manipulate large streaming/batch dataset with various format on highly efficient way.
【Responsibilities】
-Develop and Maintain data streaming pipelines/ETL batch services on Hadoop and Spark eco-systems supporting data analysis dashboard such as smart factory dashboard, war room...etc
-Ingesting data from different sources to data middle office platform such as Kafka and HDFS/HIVE.
-Data warehouse dimensional modeling and developing and optimizing complex SQL queries for applications.
-Design and implement scalable, high performance and low latency Web service/RESTful APIs.
-Cross-functional collaboration with domain experts(PE) and data scientists(DS) in Garmin
【Requirements】
-Experience in Git/SVN or other version control tools
-Familar with at least one programming language like Scala/Java/Python
-Experience in ER modeling/data modeling for both OLTP and OLAP databases on data warehouse, data lake, and enterprise big data platforms.
-Strong interest in big data platform and related open source like Spark, Redis, Kafka, ELK
-Willing to further discuss with data user to know their truly intention and requirement
-Be positive, data loving and interested in growing into more senior data engineer
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