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CamCom Technologies - Senior Full Stack Developer (5-7 yrs)

5-7 years

CamCom Technologies - Senior Full Stack Developer (5-7 yrs)

CamCom Technologies

posted 12d ago

Job Role Insights

Flexible timing

Job Description

Job Overview :


We are seeking a Full Stack Engineer with expertise in Python, ReactJS, PostgreSQL, AWS OpenSearch, and Data Engineering fundamentals. The ideal candidate will play a key role in designing and implementing data pipelines, integrating AI/ML models, and building frontend data visualizations. You will work on ETL processes, API development, and cloud-based solutions using AWS Glue while ensuring seamless CI/CD deployment.


Key Responsibilities :


- Develop and maintain scalable data pipelines using AWS Glue, ETL processes, and PostgreSQL.


- Build and optimize APIs for data retrieval and transformation.


- Design and implement frontend data visualizations using ReactJS.


- Work on AI/ML model integration, ensuring efficient deployment and performance.


- Set up and manage AWS OpenSearch for data indexing and search capabilities.


- Implement CI/CD pipelines using GitHub Actions, Docker, and Kubernetes for seamless deployments.


- Collaborate with data scientists, engineers, and stakeholders to deliver scalable data solutions.


- Ensure system security, scalability, and performance optimization.


Required Skills & Qualifications :


- Strong proficiency in Python for backend and data engineering tasks.


- Hands-on experience with ReactJS for building frontend applications with data visualization.


- Expertise in PostgreSQL, including query optimization and database design.


- Experience with API development (RESTful, GraphQL).


- Knowledge of AWS OpenSearch for data indexing and search.


- Strong understanding of Data Engineering, including ETL pipelines and AWS Glue.


- Experience with AI/ML model integration within data workflows.


- Proficiency in CI/CD pipelines using GitHub Actions, Docker, and Kubernetes.


- Excellent problem-solving skills and ability to optimize system performance.


Preferred Qualifications :


- Experience with real-time data processing and streaming technologies.


- Familiarity with big data technologies (Spark, Kafka, etc.).


- Understanding of cloud security best practices.


- Prior experience working in agile development environments.


Why Join Us?


- Work on cutting-edge data-driven applications.


- Dynamic and collaborative work environment.


- Competitive salary and benefits package.


- Learning and growth opportunities in data engineering, cloud technologies, and AI/ML.


Functional Areas: Software/Testing/Networking

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