Data Engineering Analyst

Reference No. R2782648 

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.

Sanofi’s Digital Data Organization’s mission is to transform Sanofi into a data and AI first organization by empowering everyone with good data. Through custom developed products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is in major hubs in Paris, Lyon, Budapest, Barcelona, Cambridge, Bridgewater, Toronto, and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.  The Digital Real World Data Team ensures that a person’s “real” health experience, from diverse data sources like insurance claims, hospital records, fitness trackers, is a key part of every data-driven decision Sanofi makes.

We are on a journey to surface valuable medical insights from the sea of information to enable data-driven prioritization of resources to improve patience impact. We plan to accomplish this by developing a platform that leverages Artificial Intelligence to collate volumes of data from a wide-range of sources and synthesize the information into actionable insights.

Reporting to the Data Engineering Manager, you will be a core member of an Agile development.  In this hybrid role, you will build and maintain the server-side web application, including the database management, data integration, data pipelines, and APIs.  You enjoy partnering with members of a development team to design and implement features that provide insights from the sea of data.  You tend to roll-up your sleeves and look for opportunities to learn and grow your skills all the while focused on providing value to user.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards

• Ownership of the entire back end of the application, including the design, implementation, testing, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes

• Fine-tune and optimize queries using 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 solution discovery to ensure technical feasibility

• Assist in setting up and managing CI/CD pipelines and development of automated tests

• Developing and managing microservices using python

• Conduct peer reviews for quality, consistency, and rigor for production-level solution

• 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

• Create detail documentation on Confluence to be able to support and maintain codebase and its functionality

About You

TECHNICAL SKILLS:

• 4+ years of relevant experience developing backend, integration, data pipelining, and infrastructure with relevant technologies and tools (Snowflake, AWS, Spark, Informatica/IICS or equivalent).

• Bachelor’s degree in computer science, engineering, or similar quantitative field of study

• Expertise in database optimization and performance improvement

• Expertise in Python, PySpark, and Snowpark

• Experience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries

• Experience in cloud-based data platforms (Snowflake, AWS)

• Proficiency in developing robust, reliable APIs using Python and FastAPI Framework

• Experience with job scheduling and orchestration (Airflow is a plus)

• Expert in ELT and ETL & Experience working with large data sets and performance and query optimization.

• Understanding of data structures and algorithms

• Experience in modern testing framework (SonarQube, K6 is a plus)

• Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side

• Knowledge of DevOps best practices and associated tools, a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools:

• 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)

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs