Sr Data Engineer

re-zoo-me; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

re-zoo-me in Singapore is seeking a hands-on Senior Solution Engineer to design, build, and operate robust cloud-native data and AI solutions, with a focus on AWS and Snowflake.

You will implement end-to-end data pipelines, optimize Snowflake datasets, and apply modern engineering practices while collaborating with stakeholders.

Qualifications

• 7+ years of professional engineering experience delivering production-grade systems.
• Deep hands-on AWS and Snowflake expertise (certifications preferred).
• Strong proficiency in Python and/or Java.
• Familiarity with AWS AI services (e.g., Amazon Bedrock) and responsible AI practices.
• Experience with AI-assisted engineering tools as part of daily workflow.
• Background in financial services is a plus.

Responsibilities

• Design, build, and operate production-grade data & AI solutions end-to-end.
• Develop scalable, secure, and well-governed pipelines across structured, semi-structured, and unstructured data.
• Model and optimize Snowflake datasets for performance, consistency, and usability.
• Apply modern engineering practices: clean code, CI/CD, observability, secure development.
• Partner with stakeholders to translate business needs into technical solutions.
• Leverage AI-assisted engineering tools (e.g., GitHub Copilot, Claude) to accelerate delivery.
• Build cloud-native integrations and automation using AWS services.
• Own deployment, release, and production operations with strong troubleshooting and performance tuning skills.

Education

Bachelor's/Master's in Computer Science, Software/Data Engineering, AI/ML, or related field

Tools

AWS

Snowflake

Python

Java

CI/CD

GitHub Copilot

Claude

Amazon Bedrock

Job description

We are seeking a hands-on Senior Solution Engineer to design, build, and operate robust cloud-native data and AI solutions. This role is ideal for experienced engineers who combine strong software fundamentals with deep practical expertise in AWS and Snowflake.

What you'll do

• Design, build, and operate production-grade data & AI solutions end-to-end.
• Develop scalable, secure, and well-governed pipelines across structured, semi-structured, and unstructured data.
• Model and optimize Snowflake datasets for performance, consistency, and usability.
• Apply modern engineering practices: clean code, CI/CD, observability, secure development.
• Partner with stakeholders to translate business needs into technical solutions.
• Leverage AI-assisted engineering tools (e.g., GitHub Copilot, Claude) to accelerate delivery.
• Build cloud-native integrations and automation using AWS services.
• Own deployment, release, and production operations with strong troubleshooting and performance tuning skills.

What we're looking for

• Bachelor's/Master's in Computer Science, Software/Data Engineering, AI/ML, or related field.
• 7+ years of professional engineering experience delivering production-grade systems.
• Deep hands-on AWS and Snowflake expertise (certifications preferred).
• Strong proficiency in Python and/or Java.
• Familiarity with AWS AI services (e.g., Amazon Bedrock) and responsible AI practices.
• Experience with AI-assisted engineering tools as part of daily workflow.
• Background in financial services is a plus.