AI Cloud Engineering

Congruent Software Inc.; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Congruent Software Inc. seeks qualified data/ software professionals to advance AI Cloud development. The role blends data engineering, software development, and front-end tool creation to deliver robust data-driven apps with intuitive web interfaces.

Responsibilities cover ETL, data modeling, API development, and frontend visualization, with ongoing support for customers and alignment to application release roadmaps.

Qualifications

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

Responsibilities

• 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.
• Support 360E services with sprint-based improvements and bug fixes.
• Provide ongoing support to the 360E customer base to resolve issues.

Skills

Python

SQL

NoSQL databases

Front-end frameworks

Cloud platforms

Docker

Kubernetes

HTML/CSS/JS

Communication

Education

Graduate degree in computer science

Tools

Apache Spark

Hadoop

Job description

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 work with stakeholders to understand data requirements and deliver solutions.
• Strong communication and collaboration skills.
• Ability to work with 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.