Data Analyst(Python & AWS)

 About The Role : 

As a Python Developer with AWS, you will be responsible for developing cloud-based applications, building data pipelines, and integrating with various AWS services. You will work closely with DevOps, Data Engineering, and Product teams to design and deploy solutions that are scalable, resilient, and efficient in an AWS cloud environment.

Python Development:Design, develop, and maintain applications and services using Python in a cloud environment.

AWS Cloud Services:Leverage AWS services such as EC2, S3, Lambda, RDS, DynamoDB, and API Gateway to build scalable solutions.

Data Pipelines:Develop and maintain data pipelines, including integrating data from various sources into AWS-based storage solutions.

API Integration:Design and integrate RESTful APIs for application communication and data exchange.

Cloud Optimization:Monitor and optimize cloud resources for cost efficiency, performance, and security.

Automation:Automate workflows and deployment processes using AWS Lambda, CloudFormation, and other automation tools.

Security & Compliance:Implement security best practices (e.g., IAM roles, encryption) to protect data and maintain compliance within the cloud environment.

Collaboration:Work with DevOps, Cloud Engineers, and other developers to ensure seamless deployment and integration of applications.

Continuous Improvement:Participate in the continuous improvement of development processes and deployment practices.

 Primary Skills 

Python Expertise:Strong experience in Python programming, including using libraries like Pandas, NumPy, Boto3 (AWS SDK for Python), and frameworks like Flask or Django.

AWS Knowledge:Hands-on experience with AWS services such as S3, EC2, Lambda, RDS, DynamoDB, CloudFormation, and API Gateway.

Cloud Infrastructure:Experience in designing, deploying, and maintaining cloud-based applications using AWS.

API Development:Experience in designing and developing RESTful APIs, integrating with external services, and managing data exchanges.

Automation & Scripting:Experience with automation tools and scripts (e.g., using AWS Lambda, Boto3, CloudFormation).

Version Control:Proficiency with version control tools such as Git.

CI/CD Pipelines:Experience building and maintaining CI/CD pipelines for cloud-based applications.

 Secondary Skills