Senior Data Engineer​/Cloud Solutions Developer

12/18/2025

Contract

Active

Job Summary

We are seeking a highly skilled Data Engineer with expertise in AWS Cloud Services, Big Data technologies, and API development.

The ideal candidate will design, develop, and optimize scalable data solutions, leveraging modern cloud and Dev Ops practices to support advanced analytics and machine learning workloads.

Key Responsibilities

• Design and implement solutions using AWS services such as EMR, Sage Maker, Dynamo
  
  DB, Elastic Search, ECS Fargate, and RDS.
• Ensure high availability, scalability, and security of cloud-based applications.
• Develop and optimize data pipelines using PySpark for large-scale data processing.
• Integrate data from multiple sources for analytics and machine learning use cases.

• Build and maintain RESTful APIs using Python frameworks such as Flask, Django, or FastAPI.
• Ensure APIs are secure, performant, and well-documented.

• Implement CI/CD pipelines using Jenkins for automated deployments.
• Collaborate with operations teams to streamline release processes and improve system reliability.

• Strong hands-on experience with AWS Cloud Services (EMR, Sage Maker, Dynamo
  
  DB, Elastic Search, ECS Fargate, RDS).
• Proficiency in Big Data programming using PySpark.
• Solid experience in API development with Python frameworks (Flask/Django/FastAPI).
• Knowledge of Dev Ops practices and Jenkins automation for CI/CD.
• Familiarity with containerization (Docker) and orchestration (Kubernetes/ECS) is a plus.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with machine learning workflows and data science tools.
• Understanding of security best practices in cloud environments.