We are seeking a skilled Python Developer to join our team and help design, develop, and maintain robust and efficient data processing pipelines using AWS Serverless technologies. The ideal candidate will have a strong background in Python programming, experience with serverless computing, and a passion for building scalable solutions for processing and analyzing large volumes of data.

Key Responsibilities :

- Develop, test, and deploy data processing pipelines using AWS Serverless technologies such as AWS Lambda, Step Functions, DynamoDB, and S3.

- Implement ETL processes to transform and process structured and unstructured data efficiently.

- Collaborate with business analysts and other developers to understand requirements and deliver solutions that meet business needs.

- Write clean, maintainable, and well-documented code following best practices.

- Monitor and optimize the performance and cost of serverless applications.

- Ensure high availability and reliability of the pipeline through proper design and error handling mechanisms.

- Troubleshoot and debug issues in serverless applications and data workflows.

- Stay up-to-date with emerging technologies in the AWS and serverless ecosystem to recommend improvements.

Roles & Responsibilities :

Required Skills and Experience :

- 5 to 8 years of hands-on Python development experience, including experience with libraries like boto3, Pandas, or similar tools for data processing.

- Strong knowledge of AWS services, especially Lambda, S3, DynamoDB, Step Functions, SNS, SQS, and API Gateway.

- Experience building data pipelines or workflows to process and transform large datasets.

- Familiarity with serverless architecture and event-driven programming.

- Knowledge of best practices for designing secure and scalable serverless applications.

- Proficiency in version control systems (e.g., Git) and collaboration tools.