Senior Data Engineer for Integrated Personalized Diabetes Management
hace 2 semanas
Rethink the way you approach data engineering and join a team that's revolutionizing healthcare.
As a Senior Data Engineer at F. Hoffmann-La Roche Gruppe, you'll play a key role in developing and maintaining our platform for integrated personalized diabetes management.
We're an ambitious and passionate group of individuals dedicated to building meaningful products that improve people's lives. Our commitment to innovation, diversity, and inclusion drives us to push beyond the boundaries of what's possible.
In this role, you'll be part of our global team that collaborates with pioneers from around the world, including people with diabetes, caregivers, healthcare professionals, and payers. We aim to transform and advance care provision through our data-driven approach.
Job Summary
We're seeking a highly experienced Senior Data Engineer who will have a significant impact on our platform by making data accessible. As a member of our team, you'll work closely with different data stakeholders to understand their needs and develop data pipelines, products, and services that meet those needs.
Your Mission
- 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.
Requirements
- Bachelor'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 in 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, relational databases: Redshift, Dynamodb, Aurora, Postgres and/or Snowflake), data modeling, and data management tools (Hive, Jupiter, Zeppelin, and/or Databricks).
- Proficient in one of the main cloud services (AWS, Google Cloud, or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.), preferably AWS.
What We Offer
- A competitive salary range of $150,000 - $200,000 per year.
- A comprehensive benefits package, including brand new Apple hardware, lunch benefit, training, and loads of other perks.
- An innovative agile working environment that allows for collaboration and knowledge sharing in cross-functional teams.
- A hybrid home office/on-site working model that offers flexibility and work-life balance.
Join Our Team
We're committed to providing a healthy, equal, and inclusive working environment for our employees. We care about family-friendly career paths, sustainability, a healthy lifestyle, and the flexibility of a modern workplace. If you're passionate about data engineering and want to be part of a team that's changing the face of healthcare, we encourage you to apply today.
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