AWS Data Engineers

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Rapsys Technologies Pte Ltd. is seeking experienced AWS Data Engineers in Singapore to design, build, and maintain scalable data pipelines and analytics solutions. You will work with PySpark, Python, AWS Glue, and serverless components on AWS to deliver robust data platforms.

The role emphasizes IaC with Terraform, CI/CD best practices, and strong collaboration with stakeholders to ensure secure, cost-efficient cloud data solutions.

Qualifications

• Strong hands-on experience with PySpark and Python for data engineering.
• Experience developing ETL pipelines using AWS Glue.
• Proficiency with AWS Step Functions for workflow orchestration.
• Experience building serverless solutions using AWS Lambda.
• Hands-on experience with Terraform for Infrastructure as Code (IaC).
• Experience implementing CI/CD pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar.
• Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.

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 AWS Lambda.
• Write clean, efficient, and maintainable Python/PySpark code following engineering best practices.
• Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).
• Implement and maintain CI/CD pipelines to automate code deployment, testing, and infrastructure changes.
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
• Collaborate with business stakeholders to deliver data solutions.
• Follow DevOps, security, and coding standards throughout the engagement.

Skills

PySpark

Python

AWS Glue

AWS Step Functions

AWS Lambda

Terraform IaC

CI/CD pipelines

AWS services monitoring

Tools

Terraform

GitLab

GitHub Actions

Jenkins

Job description

We're Hiring: AWS Data Engineers!

We are looking for experienced AWS Data Engineers to join our dynamic team in Singapore. The ideal candidate will possess a strong background in data engineering, cloud technologies, and AWS services. You will play a crucial role in designing, building, and maintaining scalable data pipelines and solutions that drive business intelligence and analytics.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: AWS Data Engineer

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 AWS Lambda.
• Write clean, efficient, and maintainable Python/PySpark code following engineering best practices.
• Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).
• Implement and maintain CI/CD pipelines to automate code deployment, testing, and infrastructure changes.
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
• Collaborate with business stakeholders to deliver data solutions.
• Follow DevOps, security, and coding standards throughout the engagement.

Required Skills

• Strong hands-on experience with PySpark and Python for data engineering.
• Experience developing ETL pipelines using AWS Glue.
• Proficiency with AWS Step Functions for workflow orchestration.
• Experience building serverless solutions using AWS Lambda.
• Hands-on experience with Terraform for Infrastructure as Code (IaC).
• Experience implementing CI/CD pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar.
• Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.