Senior Cloud & Data Solutions Engineer

SPI GLOBAL CONTENT HOLDING PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

SPI GLOBAL CONTENT HOLDING PTE. LTD. in Singapore seeks a senior software and data engineering leader to design, build, and operate production-grade data solutions end-to-end, applying AWS and Snowflake across structured and unstructured data.

You will own data product delivery, governance, CI/CD, observability, and production ops, collaborating with stakeholders to enable advanced analytics and AI use cases while maintaining strong engineering discipline.

Qualifications

  • Bachelor's or master's in CS/SE/DS/AI or a related technical discipline.
  • 7+ years of hands-on software, solution, or data engineering experience.
  • Proven ability to build data products, cloud services, or AI-enabled solutions.
  • Deep hands-on AWS experience with core services and security considerations.

Responsibilities

  • Design, build, and operate production-grade software and data solutions end-to-end.
  • Design and implement reliable, scalable data pipelines using AWS and Snowflake.
  • Model and optimize Snowflake datasets, ensuring performance and usability.
  • Apply strong software engineering practices: testing, CI/CD, observability.
  • Partner with stakeholders to translate requirements into data solutions.
  • Use AI-assisted engineering to accelerate coding, testing, and documentation.
  • Build cloud-native integrations on AWS and manage deployments and ops.
  • Own deployment, release, and production operations with RCA and incident response.

Skills

AWS expertise
Snowflake experience
Data engineering
Software engineering
CI/CD practices
AI-enabled solutions
Problem solving

Education

Bachelor's or Master's in CS/SE/DS/AI

Tools

AWS core services
Snowflake

Job description

SPI GLOBAL CONTENT HOLDING PTE. LTD. in Singapore seeks a senior software and data engineering leader to design, build, and operate production-grade data solutions end-to-end, applying AWS and Snowflake across structured and unstructured data.

You will own data product delivery, governance, CI/CD, observability, and production ops, collaborating with stakeholders to enable advanced analytics and AI use cases while maintaining strong engineering discipline.

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