IT - (Senior) Data Engineer

*** Welcome the expert in Microsoft Azure Cloud. If you’re interested in this position, please email your English resume to HR Janet. (janet.huang@shl-medical.com) *** 【About Company】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their drugs. Headquartered in Switzerland since late 2018, with sites in Sweden, Taiwan, and the Unites States. 【Job Overview】 SHL Medical is seeking an experienced Cloud Data Engineer to join our Data & Analytics Competence Center. We has created our Data & Analytics Competence Center with the goal of unlocking SHL’s data potential for Business Success. Within this the department is providing services in BI, Analytics and big data across the whole organization. The team is a key driver for the transition to a data- and science-driven company. In this position, the Cloud Data Engineer can expect to work closely with experts from Data Engineering, Data Architecture and ICT colleagues in high impact projects that affect the entire organization. The candidate should be comfortable working with a wide range of stakeholders to drive the digital transformation and develop new digital services and products. 【Main Responsibilities】 As a Cloud Data Engineer, you’ll be a Data Engineering Specialist and help us discover the information hidden in vast amounts of data. You’ll be part of the team which builds a cloud data platform that runs computation jobs in the cloud for reporting & reporting and AL/ML workload. • Design, development and implement key components for highly scalable data processing pipelines to process structured & unstructured data in the cloud. • Design and develop data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage solutions. • Collaborate with data engineers, data scientists, data aetlnalysts and other stakeholders to understand requirements and translate them into technical specifications and solutions to support reporting and AL/ML workloads. • Work with data governance team to build the data quality check framework and ensure the data issues are monitored and tracked. • Keep abreast of emerging cloud technologies and trends in data engineering & helps the team prepare for the adoption of these technologies. • Develops a deep expertise on cloud platforms/technologies used in SHL to assist the Data & Analytics team with life cycle management or complex changes. • Helps to establish a DevOps to improve the quality, security, automation capabilities and stability of our cloud solutions.