Responsibility:
Distributed file systems and storage technologies (HDFS, Cassandra, Hive)
Large-scale distributed data analytic platforms and compute environments (Spark, Map/Reduce)
Tools for semantic reasoning and ontological data normalization (RDF, SPARQL)
A hands-on engineering position responsible for supporting client engagements for Big Data engineering and planning
The core areas of big data, real time analytics and large-scale data processing
A solid platform for you to drive the engineering/design decisions needed to achieve cost-effective and high performance result
Requirements:
A formal background and validated experience in engineering, mathematics and computer science
Knowledge of Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)
Experience creating real time data store and analytics use cases(Kafka, Storm).
Strong understanding of big data infrastructure, including storage, processing and networking configuration
Hands on Programming / Scripting Experience ( Java, Scala, R, Python)
Experience on any IoT platform like Axeda, Thingworx, AWS or similar
DevOps Tools ( Docker, Jenkins)
Linux / Windows (Command line). An understanding of Unix/Linux including system administration and shell scripting
Experience in designing and developing cutting edge Analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids.
Experience working in an agile environment designing and modeling data flows using modeling tools.
Strong communication skills and the confidence to present deep technical findings to a business audience

源訊是全球數字化變革領導者，年收入約120億歐元，在72個國家和地區擁有 100,000名員工。源訊作為歐洲大數據、網絡安全和數字化平臺的領先者，為遍布全球的客戶提供云服務、基礎設施建設及數字化管理、商業及平臺解決方案，并通過歐洲支付和交易服務領導者 Worldline 提供交易服務。憑借尖端科技、數字化專長和行業知識，源訊服務于各行業客戶，包括制造、醫療、傳媒和公用事業部門、公共部門、零售、電信和運輸、國防、金融服務等。源訊是奧運會和殘奧會全球信息技術合作伙伴，并在巴黎歐洲交易所主板上市。源訊旗下的品牌包括Atos、Atos Consulting、Atos Worldgrid、Bull、Canopy、Unify 和 Worldline。