AI Cloud Engineering

Location: Chennai

Scope Summary 

We are seeking qualified professionals to support AI Cloud development through its engineering team. This role combines data engineering, software development, and front-end web tool development skills to build data processing pipelines and robust, data-driven applications with intuitive web interfaces.

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.