Build and maintain RESTful APIs, WebSockets, or GraphQL APIs for enterprise applications.
Deploy applications to cloud platforms (AWS, Azure, GCP) using Docker and Kubernetes and manage cloud-native deployments.
Design, develop, and maintain enterprise data processing applications (ETL/ELT), including batch and streaming pipelines.
Implement CI/CD pipelines, automated testing, and ensure security best practices (OAuth, SSL, data encryption).
Work with Python, Unix Shell scripting, SQL and handle JSON and XML data formats.
Collaborate with cross-functional teams and stakeholders to deliver data engineering solutions, with a preference for healthcare domain projects.
Requirements
6+ years of experience building and maintaining RESTful APIs, WebSockets, or GraphQL APIs.
6+ years of Experience deploying applications to cloud platforms (AWS, Azure, GCP) using Docker or Kubernetes.
Familiarity with CI/CD pipelines, automated testing, and cloud-native applications (e.g., Jenkins, GIT).
Knowledge of security best practices for web development (e.g., OAuth, SSL, data encryption).
Hands-on experience in design and development of enterprise data processing applications (ETL/ELT).
Hands-on and robust experience in Python, Unix Shell scripting, SQL and handling of JSON, XML data.
6+ years of experience in SQL, HTML, CSS, JavaScript, and front-end frameworks (React, Angular, or Vue.js).
6+ years of experience with server-side programming languages such as Node.js, Python or Java.
Bachelor's or master's Degree (Bachelor's minimum).
Cloud Computing knowledge, experience in building batch and streaming data pipelines using cloud data engineering technologies (GCP/AWS/Azure), GCS preferred.
Experience in the Health Care Domain preferred.
Applicant Tracking System Keywords
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