Data Engineer

hace 1 semana

Barcelona, España Koa Health A tiempo completo

.Koa Health is a fast-growing digital technology company focused on delivering innovative digital mental health solutions to healthcare providers. We are revolutionising mental health care by delivering therapeutic solutions through smartphones. Our mission is to make mental health support accessible, personalised, and effective by leveraging cutting-edge technology and data. We have made it our goal to combine the best research and technology to help people improve their mental health using a digital-first approach. Our market-leading evidence base shows that we have succeeded.Having recently, successfully, secured Series B funding and as the demand for our services continues to grow, so must our teams. We are therefore now seeking an accomplished Data Engineer to join our Data Team and embark on this exciting and critical moment in Koa Health's journey.Your new role:As a Data Engineer within the Data Team at Koa, your main focuses and responsibilities will be the following ones:Data Products Development: Build and maintain scalable products, such as APIs accessing data from the datalake, and reporting tools for self-service analytics for external customers. Rethink and contribute to the definition and development of a scalable data architecture supporting the iteration of such data products.Code Quality: Maintain coding standards and best practices, prioritising clean, production-ready code, and treating data pipelines as a final product for internal and external customers. Apply modular design principles, creating components that can be adapted to new data sources or new transformations. (python, scala, SQL).Data Ingestion and APIs: Build and maintain ingestion pipelines in our AWS datalake, integrating new data sources, both SQL and noSQL, pulling data via APIs for integration with various systems, such as NetSuite, Hubspot, and other external clinical partners.New Tools exploration: Investigate and implement tools, with special focus on the AWS suite (like Athena, Lake Formation, Glue, DMS, AppFlow), to enhance platform scalability, accessibility, and compliance with strict privacy regulation.Data Pipelines framework: contribute to our work-in-progress framework to develop scalable, reliable, and maintainable data pipelines, using tools such AWS Glue, Step Functions, and Airflow. Advocate for data pipeline best practices, including idempotency: to handle reprocessing of historical data efficiently, ensuring data integrity (no duplicate effect, and reproducibility).Self-service analytics: Optimize and extend the use of our recently introduced BI tool, Superset, ensuring seamless integration with our data stack, to deliver scalable self-service reporting solutions for customers. Ensure the BI platform aligns with Koa data governance and security standards, while enabling flexibility for ad-hoc reporting and analysis.Custom datasets and Dashboards: Create tailored datasets to support product and other business functions

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