DirecciónWhat You Will Do
play a vital role in designing and developing data science applications end-to-end, ensuring a smooth transition from development to production
optimize data workflows for cloud-based environments, focusing on scalability and cost-effectiveness
engineer scalable and efficient data pipelines ensuring seamless data processing
design and implement GraphQL and REST APIs backends, fostering seamless data access and integration
collaborate with frontend developers to ensure smooth data interactions
What You Bring
proven track record as a Data Scientist with a strong emphasis on software engineering and experience in software design
proficiency in backend development using Python, with experience in frameworks like FastAPI, SQLAlchemy, etc. Previous exposure to GraphQL it's a plus.
We are currently using PostgreSQL for most project
solid experience with DevOps and MLOps practices. Exposure to tools like Terraform, DevOps pipelines, automated testing, model monitoring, version control (git), CI / CD, and containers (Docker, Kubernetes)
good knowledge of cloud computing platforms, in particular Google Cloud Platform (GCP) and Microsoft Azure
experience implementing data transformations in a data warehouse (Spark, Databricks, Azure Data Factory, dbt (data build tool), etc)
high english level, both written and spoken, to interact with international colleagues
