Data Platform Engineer Analyst
Core
Design and implement globally scalable data engineering platforms to support Sanofi's advanced analytics, AI, and ML initiatives, enabling internal teams to execute user cases and improve patient outcomes.
Role type
Junior-to-mid level data platform engineer (IC)
Builds
Globally scalable data platforms, data pipelines, and analytics solutions for bioinformatics, omics, clinical, and operational domains
Domain
Biopharmaceuticals / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data pipeline design, ETL/ELT implementation, Snowflake SQL, Python, Apache Airflow, dbt, Power BI, AWS data services
Preferred skills
Data mesh concepts, Scala/Java, Shell scripting, data governance
Technologies
Snowflake, dbt, Apache Airflow (MWAA), Power BI, AWS, Scala, Java, Shell
Responsibilities
Collaborate with business teams to translate data requirements into scalable engineering solutions; Design and develop data pipelines and architectures for efficient data ingestion and delivery; Build data transformation workflows using dbt and orchestrate with Apache Airflow; Write and optimize Snowflake SQL queries; Create and maintain Power BI dashboards for business stakeholders; Implement ETL/ELT pipelines using modern integration patterns; Monitor and troubleshoot deployed data assets in production; Share knowledge and best practices with the data engineering team
Seniority
Junior to Mid-level, hands-on IC
