Data Engineering Tech Lead
hace 1 día
Data Engineering Tech Lead - Innovation Catalyst
Roches Diabetes Care is a global leader in integrated Personalized Diabetes Management (iPDM), collaborating 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. To achieve this, we are looking for a skilled Data Engineer Tech Lead to join our team.
The ideal candidate will have a strong background in data engineering, with experience in building and implementing data & analytics architecture, scalable data pipelines, and data quality frameworks. They will be responsible for providing the technology, tools, and data to support data scientists and analysts in R&D, One Medical, and Commercial teams. Additionally, they will collaborate with cross-functional stakeholders to understand their business needs and formulate and complete end-to-end analysis.
Key Responsibilities:
- Design and implement the data & analytics architecture ensuring compliance, quality, and sustainable growth of the platform.
- Build scalable data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.
- Manage the technical backlog on the Data & Analytics Platform.
- Ensure data quality by implementing and monitoring a data quality framework together with the data source teams.
- Collaborate with data infrastructure to triage infrastructure issues and drive to resolution.
Requirements:
- BS degree in Computer Science or related field.
- 8+ years relevant experience as a Data Engineer, building Data Platforms, Datalakes, and Business Intelligence solutions.
- Proficient in implementing data pipelines (using Pyspark, Spark SQL, Scala), orchestration tools/services (Airflow, data factory), and testing frameworks.
- 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 in one of the main cloud services (AWS, Google Cloud, or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc.).
- 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)
What We Offer:
- A competitive salary and benefits package.
- The opportunity to work with a global leader in integrated Personalized Diabetes Management.
- A dynamic and collaborative work environment.
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