MedHelp is on a mission of helping people getting a better health – and our cure is Data and Machine Learning. Do you want to join a fast-paced scale-up where your work has a direct impact on hundreds of thousands of individuals? Now we are looking for a Data Engineer to join us in the race of taking the lead of the rapidly growing e-health industry.
What you’ll do:
You will join the newly established Data and Analytics team and have a central role in building the infrastructure to improve the analytics initiatives. Your responsibilities will be to take ownership of the components to deliver robust, insightful and real-time analytics to the end-users. You will be working and expanding our tech-stack built on AWS using tools such as Kubernetes, Postgres, RabitMQ, Snowflake and CircleCI.
We at MedHelp would like to see that you:
Own: Shape and improve our technical architecture to deliver qualitative data and metrics to our SaaS platform, used by customers for insights and decision making. Proactively make decisions on what data to collected and use.
Teach: How to apply best practices when it comes to data engineering, including pipelines, data lineage, documentation and scaling data services.
Learn: Our service architecture and deployment workflows. How information is collected, captured and utilized to generate value. Efficient architecture for real-time inference.
Some of the areas you would be working on:
Design, implement and build pipelines that deliver data with measurable quality under the SLA.
Partner with domain experts, data analysts and other Teams to build foundational data sets that are trusted, well understood and aligned with business initiatives.
Take responsibility for documenting data pipelines and data lineage.
Building out the machine learning infrastructure as well as building and deploying models.
Master’s Degree in Computer Science or Engineering discipline.
5+ years of experience in data management disciplines, including data integration, data modeling, optimization and data quality.
Experience in working on multiple areas including but not limited to ETL, Data modeling & design, writing complex SQL queries etc.
Hands-on experience with Data Warehouse technologies (Snowflake, Redshift)
Proficiency in scripting languages (mainly Python).
MedHelp is an established healthcare provider servicing both the public and private sector with advisory services, corporate health management and proactive healthcare since more than 15 years. We have a profound knowledge and experience, with more than 270 nurses, servicing citizens, businesses and their employees through various digital channels 24/7.
Come do the best work of your life here at MedHelp! All start with you sending in your CV.