The ideal candidate is a highly skilled backend developer with deep experience in Python and public cloud deployment, passionate about building scalable, secure, and high-performance data solutions.

The Data View product enables customers to access raw and transformed healthcare data for analytics and integration.

This team works with a Snowflake-based Data Lake updated via Oracle Golden Gate pipelines and collaborates closely with product managers, architects, and other stakeholders.

Key Responsibilities :

- Design, develop, and deploy high-quality backend services and software solutions using Python, adhering to best practices in cloud architecture (HA/DR, scalability, performance, security).

- Build and maintain robust data pipelines, including ETL/ELT processes, for large-scale healthcare datasets.

- Write comprehensive unit, functional, and integration tests to ensure high code quality and reliability.

- Participate actively in code reviews, ensuring adherence to organizational coding standards and best practices.

- Implement and maintain data models and workflows for Snowflake and other data warehouses, ensuring optimal performance and data integrity.

- Collaborate with cross-functional teams including product management, architects, data engineers, and data scientists to translate business requirements into technical solutions.

- Document technical designs, processes, and APIs to maintain organizational knowledge and support operational excellence.

- Continuously explore, learn, and adopt new technologies and best practices to improve the platform and services.

Required Qualifications :

- Experience : 5 to 9 years in software engineering, with progressive experience in backend development and cloud deployment.

- Education : Bachelors degree in Computer Science, Engineering, or equivalent.

Technical Skills :

- Strong proficiency in Python (or similar modern programming languages such as Java).

- Hands-on experience with SQL databases, query optimization, and database performance tuning.

- Experience with Unix/Linux environments.

- Experience with data warehouses (Snowflake, Hadoop, or similar).

- Familiarity with Postgres internals is a strong advantage.

- Experience in deploying and maintaining services in a public cloud environment (AWS preferred).