Senior Data Engineer (Snowflake)

JAC RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A recruitment agency in Singapore is seeking a seasoned Senior Data Engineer to lead Snowflake-based data solutions for a global healthcare organization. This role emphasizes collaboration, governance, and performance optimization while managing scalable data infrastructure and legacy migrations. Ideal candidates will have over 5 years of Snowflake experience and strong SQL skills.

Qualifications

• At least 5 years of experience with Snowflake in a production environment.
• Strong skills in SQL, data modeling, and BI/Analytics.
• SnowPro Data Engineer certification is required.
• Proven ability to engage stakeholders and solve problems.

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 experience

Strong SQL skills

Data modeling

BI/Analytics expertise

Problem-solving skills

Education

SnowPro Data Engineer certification

Tools

Snowflake

AWS

Azure

dbt

Talend

Informatica

MLflow

Docker

Python

Java

TensorFlow

PyTorch

Job description

Senior Data Engineer (Snowflake)

Role Summary 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