Data Engineering Specialist – RWD

SANOFI

Standszám:

C3

Main responsibilities:

Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards
Mentor and train junior team members
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 
About you
Key Requirements & Qualifications: 

5+ 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) 
Experience with JIRA & Confluence 

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2025. október 1. (szerda) 10-19 óra

2025. október 2. (csütörtök) 10-17 óra

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