Data & AI Engineer

About The Job
Ownership of the entire back end of the application including the design, implementation, test, 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 databases 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
Qualifications
4+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
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
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 and at least 14 weeks’ gender-neutral parental leave.
Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Work arrangement
No