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Senior Data Engineer
hace 2 meses
We are a global leader in integrated Personalized Diabetes Management (iPDM), collaborating with pioneers around the globe to transform and advance care provision and foster sustainable care structures.
The PositionWe are seeking an experienced data engineer to join our team and make a significant impact on our platform, making data accessible to different stakeholders. You will work with various data stakeholders to gain a good understanding of the data needs and define and develop data pipelines, data products, and data services.
Key Responsibilities- 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 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, and 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.), 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.
We are ambitious and passionate people building meaningful products. We actively promote personal and career development, and we offer a hybrid home office/on-site working model, loads of benefits, and a culture of learning and sharing.
We are 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.
