AWS Data Engineer
7000 - 8000 SGDTemporary
Rapsys Technologies
Key Responsibilities
· Design, develop, and maintain scalable data pipelines using PySpark on AWS.
· Build and orchestrate ETL/ELT workflows using AWS Glue and AWS Step Functions .
· Develop serverless applications and automation using AWSLambda .
· Write clean, efficient, and maintainable Python/PySpark codefollowing engineering best practices.
· Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).
· Implement and maintain CI/CD pipelines to automate codedeployment, testing, and infrastructure changes.
· Monitor, troubleshoot, and optimize data pipelines forperformance, reliability, and cost efficiency.
· Collaborate with business stakeholders to deliver datasolutions.
· Follow DevOps, security, and coding standards throughout theengagement.
Required Skills· Strong hands-on experience with PySpark and Python fordata engineering.
· Experience developing ETL pipelines using AWS Glue .
· Proficiency with AWS Step Functions for workfloworchestration.
· Experience building serverless solutions using AWS Lambda .
· Hands-on experience with Terraform for Infrastructure asCode (IaC).
· Experience implementing CI/CD pipelines using tools suchas GitLab, GitHub Actions, Jenkins, or similar.
· Good understanding of AWS services, data lakes, IAM, S3,CloudWatch, and monitoring.
Vacancy posted 2 days ago
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