AI Cloud Engineering Professional

Congruent; Chennai District; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Congruent is seeking qualified professionals to support AI Cloud development within its engineering team. This role blends data engineering, software development, and front-end web tool development to build data-driven applications with intuitive interfaces.

You will design and maintain data pipelines, optimize databases, implement data models, and ensure data quality. You will develop APIs and front-end interfaces, contribute to sprint goals, and assist customers with implementation needs

Qualifications

• Graduate degree in computer science or related areas.
• 2 years of industry experience.
• Proficiency in Python programming environment.
• Experience with SQL and NoSQL databases.
• Familiarity with frameworks such as Apache Spark and Hadoop.
• Cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proficiency in 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.
• Contribute to sprint-based goals for 360E services.
• Provide ongoing support for the 360E customer base to resolve issues and determine implementation needs.
• Support the release roadmap with additional development tasks.

Skills

Strong communication

Data analysis

Team collaboration

Problem solving

Education

Graduate degree in computer science or related areas

Tools

Python

SQL

NoSQL

Apache Spark

Hadoop

AWS

Azure

GCP

Docker

Kubernetes

HTML

CSS

JavaScript

Front-end frameworks

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 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.