We're looking for an experienced data engineer who will have a significant impact on our platform making data accessible. You will work with different data stakeholders to gain a good understanding of the data needs. You will define and develop data pipelines, data products and data services. You will drive automation - wherever possible and feasible - to ensure that automation is in place to increase quality and efficiency.
Design, build and maintain the Roche Diabetes Care 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 data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements. Ensure quality best practices, defining and implementing automated testing of the data pipelines and orchestrations. Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. 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. B.S. degree in Computer Science, Information Systems, Math, Statistics, Engineering or equivalent training 8+ years of professional experience working with large scale data platforms in the fields of Data Operations or Data engineering, using agile methodologies. Proficient implementing data pipelines (using i.e Pyspark, Spark SQL, Scala), orchestration tools/services (i.e. Airflow, data factory) and testing frameworks. 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 are proficient in one of the main cloud services (AWS, Google Cloud or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.), preferable AWS. Proficient with Software Engineering best practices, such as unit testing and integration testing, and software development tools, such as Intellij, Maven, Git, Docker among others. Experience with orchestration, automation, integration and continuous delivery frameworks such as Jenkins or Streamsets. Proficient with Software engineering best practices, such as unit testing and integration testing, and software development tools, such as IDE, Maven, Git, Docker among others. Autonomy in solving technical challenges with a problem solving mindset We are ambitious and passionate people building meaningful products. We actively promote personal and career development so if you like writing blog posts, contributing to open source projects, or are an active participant and/or speaker at conferences and meet-ups, we are here to support you. An innovative agile working environment allowing for collaboration and knowledge sharing in cross-functional teams. Hybrid home office/on-site working model. Loads of benefits (Apple hardware, lunch benefit, training, medical insurance, life insurance, stock options...) Oh, and did we mention the best team in the world!
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