Snowflake Data Engineer — Modernize Pipelines & Cloud DW

re-zoo-me; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

We are partnered with an established organisation to look for a data engineer. In this role, you will modernise enterprise data pipelines and scale cloud data warehouse capabilities, working closely with analytical teams and cross-functional technical stakeholders to deliver high-quality, trusted data assets supporting mission-critical reporting and strategic decision-making.

Key responsibilities include architecting, constructing, and maintaining resilient batch and streaming data ingestion

Qualifications

• Proven track record in data engineering building scalable pipelines and data warehouses.
• Deep Snowflake expertise including performance tuning, data sharing, and workload management.
• Strong SQL skills and programming in Python or similar languages.
• Experience with modern pipeline orchestration tools and public cloud platforms.
• Excellent communication to explain technical concepts to stakeholders.

Responsibilities

• Architect, construct, and maintain resilient batch and streaming data ingestion pipelines feeding enterprise cloud platforms.
• Design and optimise dimensional data models, analytical schemas, and storage layers within cloud data warehousing environments.
• Implement automated data quality checks, observability controls, and governance across multi-source feeds.
• Partner with downstream business intelligence and application teams to translate functional specifications into robust data products.

Skills

Data engineering

Batch/Streaming pipelines

Snowflake

SQL

Python

Cloud platforms

Orchestration tools

Stakeholder communication

Tools

Airflow

Job description

We are partnered with an established organisation to look for a data engineer. In this role, you will modernise enterprise data pipelines and scale cloud data warehouse capabilities, working closely with analytical teams and cross-functional technical stakeholders to deliver high-quality, trusted data assets supporting mission-critical reporting and strategic decision-making.

Key responsibilities include architecting, constructing, and maintaining resilient batch and streaming data ingestion