AWS Engineer

Job Title:

Notice Period:

We are looking for an experienced AWS Engineer to join our dynamic data engineering team. The ideal candidate will have hands-on experience building and maintaining robust, scalable data pipelines and cloud-based architectures on AWS.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and EMR
  
• Collaborate with data scientists and ML engineers to operationalize machine learning models using AWS SageMaker
  
• Implement efficient data transformation and feature engineering workflows
  
• Optimize ETL/ELT processes and enforce best practices for data quality and governance
  
• Work with structured and unstructured data using Amazon Athena, DynamoDB, RDS, and similar services
  
• Build and manage CI/CD pipelines for data and ML workflows using AWS CodePipeline, CodeBuild, and Step Functions
  
• Monitor data infrastructure for performance, reliability, and cost-effectiveness
  
• Ensure data security and compliance with organizational and regulatory standards
  

Required Skills:

• Strong experience with AWS data and ML services
  
• Solid knowledge of ETL/ELT frameworks and data modeling
  
• Proficiency in Python, SQL, and scripting for data engineering
  
• Experience with CI/CD and DevOps practices on AWS
  
• Good understanding of data governance and compliance standards
  
• Excellent collaboration and problem-solving skills