Description

Job Description

 

Responsibilities:

  • Design, develop, and deploy scalable, secure applications using AWS cloud-native technologies.
  • Use AWS services like Lambda, Kinesis, Redshift, and API Gateway to build high-performance solutions.
  • Architect serverless applications using AWS Lambda for event-driven computing.
  • Build and maintain real-time or batched data pipelines
  • Design and optimize data warehouses with Amazon Redshift for large-scale data storage and analysis.
  • Implement event-driven architectures for efficient communication between various AWS services.
  • Write and optimize PySpark code for the data processes to transform and load data.
  • Ensure security and compliance with AWS best practices, including VPC, IAM, and encryption.
  • Identify performance, scalability, and cost-saving opportunities within AWS environments..
  • Create and maintain technical documentation for AWS architecture and processes.
  • Good understanding and working knowledge of GIT CI/CD pipelines for automated testing and deployment.
  • Troubleshoot and resolve issues with AWS services to minimize production downtime.

Must-Have Skills:

  • Proficiency in a wide range of AWS services, with a focus on Lambda, Kinesis, and Redshift.
  • Strong skills in designing, implementing, and optimizing data warehousing solutions using Amazon Redshift.

Key Skills
Education

Any Graduate

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