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HealthEdge in Bengaluru is seeking a Data Engineering Team Lead to design, build, and test cutting-edge cloud data services. You will guide a hands-on team, shaping data pipelines, ETL/ELT processes, and data models to support healthcare analytics.
You will drive best practices in test-driven development, continuous integration, and automated deployment while collaborating with business and technical partners to deliver scalable, secure solutions.
Summary:
You will join a team charged with building our new product in the Provider
Data Management space. This is an incredible opportunity to help solve a significant
problem in the healthcare industry. Customer empathy and user-centric design will be a
priority. The ideal candidate will be excited about working on product development, is
comfortable pushing the envelope and challenging the status quo, setshigh standardsforhim/herself and others, and works well with ambiguity.
Position Overview:
HealthEdgeis in search of a Data Engineering Team Lead to join our Cloud Data
Engineering Team. The role focuses on designing, implementing, and testingcutting-edgetechnical data solutions. The Data Engineering team collaborates with business andtechnical partners toestablishand maintain high-value data.
As the Data Engineering Team Lead, you will work closely with all team members to createa modular, scalable solution that addresses current needs, but will also serve as afoundation for future success. You will be critical in building the team’s engineering
practices in test-driven development, continuous integration, automated deployment andis a hands-on team member who actively coaches the team to solve complex problems.
She / he willbe responsible forthe design, development, performance, and support of thecloud data services.
What you will do:
them meet performance, scalability, reliability, and security needs.
by the architecture team to move, transform, andvalidatedata between systems
andAWSCloud.
the quality of the delivery. Providing guidance for the engineering team while
designing the data integration applications.
experience in SQL across different platforms including structured and unstructured
data from various enterprise sources.
(Informatica, Talend, SSIS, Azure Data Factory, etc.),SQL,data
streaming, etc.
convey the results to audience at all levels.
Bonus points: