AI Cloud Engineering - Congruent Software

Location:

Scope Summary

Project Summary

• Design, build, and maintain data pipelines and ETL processes.
• Develop and optimize databases and data warehouses.
• Implement data models and schemas to support analytics and reporting.
• Ensure data quality and integrity.
• Develop software applications that interact with data systems.
• Create APIs for data access and integration.
• Implement front-end solutions for data visualization and user interfaces.
• Sprint-based goals to deliver software enhancements and bug fixes for 360E services.
• Ongoing support for the 360E customer base to resolve issues and determine implementation needs.
• Provide additional support as determined in application release roadmap.
  

Technical Requirements

Typical Personnel Shall Have The Following Education And Experience

• Graduate degree in computer science or related areas.
• 2 years of industry experience.
• Python programming environment.
• SQL and NoSQL databases.
• Frameworks (Apache Spark, Hadoop).
• Cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• HTML, CSS, JavaScript, and front-end frameworks.
  

Preferred Qualifications

• Advanced programming (Python).
• Experience with data processing frameworks.
• Familiarity with cloud platforms and containerization.
• Expertise in front-end frameworks.
• Ability to analyze complex data sets and derive actionable insights.
• Strong communication and collaboration skills.
• Ability to work with stakeholders to understand data requirements and deliver solutions.
• Familiarity with healthcare data management and regulations.
• Understanding of Health Insurance Portability and Accountability Act (HIPAA) compliance.
• Knowledge of Digital Imaging and Communications in Medicine (DICOM) standards.
• Experience in handling and processing healthcare data.
  

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