Senior Data Engineer (AI)

JAC Recruitment Pte Ltd; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A global healthcare organization in Singapore is seeking a seasoned Senior Data Engineer to lead Snowflake-based data solutions supporting AI and analytics initiatives. The ideal candidate will have over 5 years of experience with Snowflake, strong SQL and data modeling skills, and proven ability to collaborate cross-functionally. This role emphasizes performance optimization and governance in a fast-paced environment.

Qualifications

• At least 5 years of Snowflake experience in production.
• Strong SQL, data modeling, and BI/Analytics expertise.
• Proven stakeholder engagement and problem-solving skills.

Responsibilities

• Design and implement scalable data pipelines and data marts.
• Lead migration from legacy systems to Snowflake.
• Support AI/ML workflows with curated datasets and real-time analytics.
• Implement Snowflake governance and security best practices.
• Collaborate with cross-functional teams to deliver data-driven solutions.

Skills

Snowflake

SQL

Data modeling

BI/Analytics

Python

Java

Education

SnowPro Data Engineer certification

Tools

ETL/ELT tools: dbt, Talend, Informatica

AWS (Glue, RDS, S3, Fargate)

Azure

MLOps: MLflow, Docker, LangChain

AI Tools: TensorFlow, PyTorch

Job description

My client is a Global Healthcare organisation and they are looking for a seasoned Senior Data Engineer to lead Snowflake-based data solutions supporting AI and analytics initiatives. This role focuses on scalable data infrastructure, legacy migrations, and robust ETL/ELT pipelines, with a strong emphasis on collaboration, governance, and performance optimization.

Key Responsibilities

• Design and implement scalable data pipelines and data marts
• Lead migration from legacy systems to Snowflake
• Support AI/ML workflows with curated datasets and real-time analytics
• Implement Snowflake governance and security best practices
• Collaborate with cross-functional teams to deliver data-driven solutions

Tech Stack & Tools

• Snowflake, AWS (Glue, RDS, S3, Fargate), Azure
• ETL/ELT tools: dbt, Talend, Informatica
• MLOps: MLflow, Docker, LangChain
• Programming: Python, Java
• AI Tools: TensorFlow, PyTorch, LLMs, RAG pipelines

Qualifications

• At least 5 years of Snowflake experience in production
• Strong SQL, data modeling, and BI/Analytics expertise
• SnowPro Data Engineer certified
• Proven stakeholder engagement and problem-solving skills