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tap growth ai

Singapore / Global

AWS Data Engineers

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.

Ready to make an impact Apply now and let's build the future together!

Apply Now

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