Data Engineer Tech Lead

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.

Requirements

• 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

Benefits

• 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!