Data Engineer

• Develop and maintain data pipelines within ONE DX Data platform.
• Design, build, optimize, monitor, and manage complex data flows on data related to SHS Lab Diagnostics business. Successfully collaborate with DX IT DIAI team and other stakeholders in SHS DX.
• Design, build re-usable data platform capabilities to enable data engineering teams.
• Support creation of data backbone for data driven applications and analytics solutions incl.
• AI/ML solutions.
• Build data pipelines from raw data to data products utilizing the Data Vault framework
• Collaborate with various stakeholder by translating business requirements into data pipeline designs and implement those
• Build and manage best in class data pipeline structures involving robust meta data capturing and automated testing
• Design data pipelines with data quality and data observability by design principles
• Manage, monitor and optimize data pipelines and build highly efficient and automated data lineage from raw data to analytical consumption
• Work with deployment team to ensure high quality and agile deployments of data pipelines applying state of the art DevOps methods, such as trunk-based-development
• Collaborate with data platform architect to continuously improve data platform and operations
• Design, build and integrate data pipelines for data driven applications, machine learning and advanced analytics use cases

Qualifications:

• Proven knowledge (e.g. certification) on data vault framework
• High proficiency in designing, managing, monitoring, and administrating data pipelines and data structures in Cloud based technology stack
• Ability to translate complex problems into simple technical solutions
• Ability to abstract data problems into re-usable components/modules
• Lifetime willingness to learn and explore new technologies in data, analytics and AI
• Strong orientation towards quality and results (attention to detail and standardization)
• Practical experience working in agile environments
• Good communication skills
• Analytical and out of the box thinking
• Natural drive for innovation and optimization
• Teamwork oriented collaborative attitude in a multi-national hybrid team environment

Education/Experience

• Post degree in computer science, information science, or data analytics
• Expert knowledge and minimum 5 years professional experience on data pipeline modeling/implementation, data management, data transformation in a corporate environment
• Practical experience in automated data quality management and test automation
• Well-versed in Cloud based data management technologies (Snowflake, Databricks, Neo4J, dbt)
• Experience with processing, optimizing, and managing large data sets (multiple TB scale).
• Profound knowledge and hands-on experience with advanced analytics/machine learning environments such as Phyton, Apache Spark, Snowpark on Snowflake
• Proficient English plus an additional foreign language is preferred
• Knowledge on data visualization such as Qlik or PowerBI is preferred
• Working experience with Agile methods within Microsoft DevOps
• Experience working with enterprise data in the field of laboratory diagnostics or large global enterprise preferred.
• Experience in working with multinational teams and/or different countries and cultures