Data Engineering Specialist

Stack

Responsibilities

• ▹Establish technical designs to meet Sanofi requirements aligned with architectural and data standards
• ▹Mentor and train junior team members
• ▹Own the entire back end of the application, including design, implementation, test and troubleshooting of core application logic, databases, data ingestion and transformation, data processing and pipeline orchestration, APIs, CI/CD integration and other processes
• ▹Fine-tune and optimize queries using the Snowflake platform and database techniques
• ▹Optimize ETL/data pipelines to balance performance, functionality and other operational requirements
• ▹Assess and resolve data pipeline issues to ensure performance and timeliness of execution
• ▹Assist with technical support, managing CI/CD pipelines and developing automated tests
• ▹Develop and manage microservices using Python
• ▹Conduct peer reviews for quality, consistency and rigor of production-level solutions
• ▹Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
• ▹Promote best practices and standards for code management, automated testing and deployments
• ▹Own all areas of the product lifecycle: design, development, test, deployment, operation and support

Requirements

• ▹5+ years of relevant experience developing backend, integration, data pipelining and infrastructure
• ▹Bachelor's degree in computer science, engineering or a similar quantitative field
• ▹Expertise in database optimization and performance improvement
• ▹Expertise in Python, PySpark and Snowpark
• ▹Experience with data warehouses and object-relational databases (Snowflake and PostgreSQL) and writing efficient SQL queries
• ▹Experience with cloud-based data platforms (Snowflake, AWS)
• ▹Proficiency in developing robust, reliable APIs using Python and the FastAPI framework
• ▹Understanding of data structures and algorithms
• ▹Experience with modern testing frameworks
• ▹Experience with JIRA and Confluence
• ▹Fluent English (written and verbal)

Nice to have

• ▹SonarQube and K6
• ▹Knowledge of DevOps best practices and tools, especially setup, configuration, maintenance and troubleshooting: containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift)
• ▹Infrastructure as Code (Terraform)
• ▹Monitoring and logging (CloudWatch, Grafana)
• ▹CI/CD pipelines (JFrog Artifactory)
• ▹Scripting and automation (Python, GitHub, GitHub Actions)

Soft skills

What we offer

• ▹Make a real impact by building tools and platforms that directly improve and save lives
• ▹Contribute to products deployed globally on a leading-edge tech stack at the intersection of software engineering, cloud architecture, data platforms and AI
• ▹World-class mentorship and training with renowned leaders and academics in machine learning, data and software engineering
• ▹Career growth through promotions, lateral moves or international assignments

About the company

Sanofi is a global biopharmaceutical company working in some 100 countries for human health. At the core of its digital transformation program is accelerating the adoption of data and AI to support R&D, manufacturing and commercial performance.