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Key Responsibilities :

- Manage, administer, and maintain AWS cloud environments to ensure reliability, scalability, and performance.
- Design and develop scalable ETL/ELT data pipelines using AWS data engineering services.
- Work with S3, Glue, Redshift, and Athena to build and manage cloud-based data solutions.
- Implement and manage Infrastructure as Code (IaC) using Terraform and CloudFormation.
- Develop and maintain CI/CD automation using Jenkins and GitHub Actions.
- Develop data engineering and cloud automation solutions using Python, SQL, and PySpark.
- Manage IAM and cloud access configurations in AWS environments.
- Develop and maintain serverless solutions using AWS Lambda.
- Monitor AWS environments and workloads using CloudWatch.
- Work with Docker for containerization and deployment.
- Design and support Data Lake solutions and related cloud data platforms.
- Troubleshoot AWS, data pipeline, and DevOps-related issues and support ongoing cloud platform operations.

Skillset :





- Solid hands-on experience with AWS platform administration and cloud services.
- Experience with S3, Glue, Redshift, and Athena for cloud-based data engineering and analytics.
- Good understanding of IAM, Lambda, and CloudWatch for AWS access management, serverless workloads, and monitoring.
- Strong programming experience with Python, SQL, and PySpark.
- Hands-on experience developing and managing ETL/ELT data pipelines.
- Experience designing and implementing Data Lake solutions.
- Strong experience with Terraform and CloudFormation for Infrastructure as Code.
- Hands-on experience with Jenkins and GitHub Actions for CI/CD automation.
- Experience with Docker for containerized applications and workloads.
- Good understanding of AWS cloud operations, Data Engineering, and DevOps.

📌 AWS Cloud Engineer (India)
🏢 Hiring Squad
📍 India