Taiwan Job Openings
CMoney-全曜財經資訊股份有限公司
【工程部】大數據工程師 Big Data Engineer
FULL TIME
October 1, 2024
工作內容
At CMoney, our mission is to assist people in their lifelong investment. To this end, we have already launched several services and apps to help users make decisions on different matters. CMoney has the most popular stock mobile app and stock forum in Taiwan. So far our stock forum has had more than 450k monthly active users, and all of our products have had almost 3 million monthly active users. Everyday more than 100k articles and messages emerge from our apps and forum. Meanwhile, we collaborate with 50+ investment KOLs to help users succeed in investment. Currently, CMoney is at the fast-growing stage, and thus we are looking for brilliant talents to join our team, especially the ones with integrity, high social interest and a growing mindset. For more detail of CMoney, please refer to the following link: https://cmy.tw/00BWh P.
Our Big Data team focuses on implementing the business intelligence platform to support multiple internal partner teams to meet their operational needs. We are responsible for establishing processes for continual improvement, crafting data and reporting solutions at large scale. Our mission is to keep our business running optimally while maintaining a balanced application environment.
As a member of the Big Data team, you will build and own mission-critical data pipelines as well as modern data warehouse solutions while collaborating closely with Data Science, Marketing, and Product teams.
You will be a part of an early stage team and have a significant stake in defining its future with a considerable potential to impact all of CMoney's revenue and millions of users. Your efforts will reveal invaluable business and user insights to fuel revenue by leveraging vast amounts of data.
Our Big Data team focuses on implementing the business intelligence platform to support multiple internal partner teams to meet their operational needs. We are responsible for establishing processes for continual improvement, crafting data and reporting solutions at large scale. Our mission is to keep our business running optimally while maintaining a balanced application environment.
As a member of the Big Data team, you will build and own mission-critical data pipelines as well as modern data warehouse solutions while collaborating closely with Data Science, Marketing, and Product teams.
You will be a part of an early stage team and have a significant stake in defining its future with a considerable potential to impact all of CMoney's revenue and millions of users. Your efforts will reveal invaluable business and user insights to fuel revenue by leveraging vast amounts of data.
條件要求
工作經歷: 不拘
學歷要求: 大學以上
科系要求: 資訊工程相關、其他數學及電算機科學相關、資訊管理相關
語文條件: 不拘
擅長工具: hadoop
工作技能: 不拘
其他條件:
Required:
B.S. and/or M.S. in Computer Science or related field
Broad knowledge of the data infrastructure ecosystem
Experience with Hadoop or other Map Reduce-based architectures
Good understanding of one or more of the following programming languages:
Scala or Java
Desirable:
Experience working with large data volumes
Experience writing Big Data pipelines, as well as custom or structured ETL,
implementation and maintenance
Experience with large-scale data warehousing architecture and data modeling
Experience with Druid or Apache Flink
Experience with real-time streaming (Apache Kafka, Apache Beam, Heron, Spark
Streaming)
Ability in managing and communicating data warehouse project plans to internal
clients
學歷要求: 大學以上
科系要求: 資訊工程相關、其他數學及電算機科學相關、資訊管理相關
語文條件: 不拘
擅長工具: hadoop
工作技能: 不拘
其他條件:
Required:
B.S. and/or M.S. in Computer Science or related field
Broad knowledge of the data infrastructure ecosystem
Experience with Hadoop or other Map Reduce-based architectures
Good understanding of one or more of the following programming languages:
Scala or Java
Desirable:
Experience working with large data volumes
Experience writing Big Data pipelines, as well as custom or structured ETL,
implementation and maintenance
Experience with large-scale data warehousing architecture and data modeling
Experience with Druid or Apache Flink
Experience with real-time streaming (Apache Kafka, Apache Beam, Heron, Spark
Streaming)
Ability in managing and communicating data warehouse project plans to internal
clients
遠端型態
部分遠端面試
員工福利
法定項目
勞保、健保、特別休假、勞退、婚假、哺乳室、週休二日、家庭照顧假、陪產假、產假、育嬰留停、女性生理假、產檢假、就業保險、職災保險
其他福利
薪資及獎金、節金
具競爭力的整體薪酬制度,提供彈性的調薪辦法,吸引、激勵並留任優秀人才依當年公司營運狀況及個人績效表現提供具競爭力的薪資、專案獎金及年終獎金。
基本保障
除勞健保、勞退保障,另提供正職同仁團體保險
活動及補助
活動類:節慶活動、尾牙、不定期公司/部門聚餐、多元化的社團活動
補助類(全職任職滿三個月):國內外旅遊補助、挑戰極限補助、教育訓練補助。
其他:升降辦公桌、入職即可參加CMoney 退休福利金計畫(全職)、特約商店享有員工優惠、英文課。
學習與成長
我們非常重視員工成長,除了提供良好的工作與進修環境(CMoney教育訓練中心),更享有免費資源學習投資理財、購書補助(併入教育訓練補助)。
快樂生活
我們認為孩子的成長只有一次,凡撫養未滿10歲子女,每個出勤工作日可提前於17:30下班,讓你有更多時間陪伴家人(全職適用)。另有合作幼兒園/托兒機構優惠。
薪資範圍
面議(經常性薪資達4萬元)
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