Senior Snowflake Data Engineer - AWS, AI-Driven Pipelines

Lavu Tech Solutions Sdn Bhd

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Lavu Tech Solutions Sdn Bhd is seeking an experienced engineer to design, build, and operate production-grade software and data solutions end-to-end. You will work with AWS and Snowflake to create scalable data pipelines and data products, while maintaining quality, security, and governance.

The role emphasizes AI-enabled development, collaboration with stakeholders, and robust engineering practices across the full software lifecycle.

Qualifications

  • Degree in a technical discipline as listed.
  • 7+ years of hands-on software engineering, solution engineering, or data engineering experience.
  • Proven track record delivering production-grade systems in enterprise environments.
  • Deep AWS experience with core services and security considerations.
  • Strong Python/Java coding, API design, and test automation.

Responsibilities

  • Design, build, and operate production-grade software and data solutions end-to-end.
  • Design and implement reliable, scalable data pipelines and data products on AWS and Snowflake.
  • Model and optimise Snowflake datasets and data structures for performance.
  • Apply strong software engineering practices including CI/CD, testing, and observability.
  • Partner with stakeholders to translate requirements into robust data solutions.

Skills

Python
Java
AWS
Snowflake
CI/CD

Education

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

Tools

Snowflake
AWS

Job description

Lavu Tech Solutions Sdn Bhd is seeking an experienced engineer to design, build, and operate production-grade software and data solutions end-to-end. You will work with AWS and Snowflake to create scalable data pipelines and data products, while maintaining quality, security, and governance.

The role emphasizes AI-enabled development, collaboration with stakeholders, and robust engineering practices across the full software lifecycle.

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