Job
Description
As a Sr Data Engineer in the Digital & Data team you will work hands-on to deliver and maintain the pipelines required by the business functions to derive value from their data For this, you will bring data from a varied landscape of source systems into our cloud-based analytics stack and implement necessary cleaning and pre-processing steps in close collaboration with our business customers Furthermore, you will work closely together with our teams to ensure that all data assets are governed according to the FAIR principles To keep the engineering team scalable, you and your peers will create reusable components, libraries, and infrastructure that will be used to accelerate the pace with which future use-cases can be delivered You will be part of a team dedicated to delivering state-of-the-art solutions for enabling data analytics use cases across the Healthcare sector of a leading, global Science & Technology company As such, you will have the unique opportunity to gain insight into our diverse business functions allowing you to expand your skills in various technical, scientific, and business domains Working in a project-based way covering a multitude of data domains and technological stacks, you will be able to significantly develop your skills and experience as a Data Engineer Who you are BE/M.Sc./PhD in Computer Science or related field and 8+ years of work experience in a relevant capacity Experience in working with cloud environments such as, Hadoop, AWS, GCP, and Azure. Experience with enforcing security controls and best practices to protect sensitive data within AWS data pipelines, including encryption, access controls, and auditing mechanisms. Agile mindset, a spirit of initiative, and desire to work hands-on together with your team Interest in solving challenging technical problems and developing the future data architecture that will enable the implementation of innovative data analytics use-cases Experience in leading small to medium-sized team. Experience in creating architectures for ETL processes for batch as well as streaming Ingestion Knowledge of designing and validating software stacks for GxP relevant contexts as well as working with PII data Familiarity with the data domains covering the Pharma value-chain (e.g. research, clinical, regulatory, manufacturing, supply chain, and commercial) Strong, hands-on experience in working with Python, Pyspark & R codebases, proficiency in additional programming languages (e.g. C/C++, Rust, Typescript, Java, ) is expected. Experience working with Apache Spark and the Hadoop ecosystem Working with heterogenous compute environments and multi-platform setups Experience in working with cloud environments such as, Hadoop, AWS, GCP, and Azure Basic knowledge of Statistics and Machine Learning algorithms is favorable This is the respective role description: The ability to easily find, access, and analyze data across an organization is key for every modern business to be able to efficiently make decisions, optimize processes, and to create new business models. The Data Architect plays a key role in unlocking this potential by defining and implementing a harmonized data architecture for Healthcare.
