.Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.The PositionData EngineerFull-Time (Sant Cugat)Diabetes is a pesky monster — and that's putting it mildly. If you're serious about helping us face it head-on, come join us!Being a global leader in integrated Personalized Diabetes Management (iPDM), Roche Diabetes Care collaborates with pioneers around the globe, including people with diabetes, caregivers, healthcare professionals, and payers. We aim to transform and advance care provision and foster sustainable care structures. Under the brands RocheDiabetes, Accu-Chek, and mySugr, comprising glucose monitoring, insulin delivery systems, and digital solutions, we unite with our partners to create patient-centered value.Responsibilities:Build and maintain the data & analytics platform ensuring FAIR principles are achieved.Assemble large and complex datasets within the platform and make them available for different purposes and stakeholders.Build scalable automated data pipelines to produce quality datasets from different sources meeting functional and non-functional requirements. Define and implement automated testing of the data pipelines and orchestrations.Define and implement data models and data products to provide access to data to final stakeholders.Implement the tools and processes to access, manage and work with the data for the reporting, advanced analytics and evidence generation teams.Collaborate with data team members to define data quality rules and KPIs for monitoring and exception alerts.Diagnose and triage infrastructure problems and outages related to the data & analytics platform.Essential skills for this mission:You have a B.S. degree in Computer Science, Information Systems, Math, Statistics, Engineering or equivalent training.You have at least 3 years of professional experience working with large scale data platforms in the fields of Data Operations or Data engineering, using agile methodologies.You are proficient implementing data pipelines (using i.E Pyspark, Spark SQL, Scala), orchestration tools/services (i.E. Airflow, data factory) and testing frameworks.You have experience in databases (columnar, nosql and relational databases: Redshift, Dynamodb, Aurora, Postgres and/or Snowflake), data modeling and data management tools (Hive, Jupiter, Zeppelin and/or Databricks).You have experience in one of the main cloud services (AWS, Google Cloud or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.)You are familiar with orchestration, automation, integration and continuous delivery frameworks such as Jenkins or Streamsets
