Description

Key Skills: Python, PySpark, AWS, Terraform, CI/CD, Git, REST APIs, Microservices, S3, Glue, Lambda, ECS, EKS

Roles & Responsibilities:

• Develop and optimize data pipelines using Python and PySpark.
• Build scalable data solutions using AWS services.
• Implement infrastructure as code using Terraform.
• Develop and manage CI/CD pipelines with Git.
• Build and integrate RESTful APIs and microservices.
• Perform testing, deployment, and production support.
• Monitor and optimize data pipeline performance.
• Collaborate with cross-functional teams to deliver data solutions.

Experience Required:

• 5-10 years of experience in Data Engineering.
• Strong hands-on experience with Python, PySpark, and AWS.
• Experience with Terraform, CI/CD, and Git.
• Knowledge of REST APIs and microservices architecture.
• Experience with PowerShell, SonarQube, Veracode, and Pytest is an added advantage.
• Strong analytical, troubleshooting, and communication skills.

Education: Any Graduation, Any Post Graduation

Key Skills

Education

Any Graduate