Data Engineer( Snowflake, ETL/ELT ) (Weekends,shifts)– Contract #IKR

Your tasks

• Pipeline Engineering: Design, build, and deploy highly scalable data ingestion, transformation, and distribution pipelines within the cloud-native Snowflake ecosystem.
• Data Platform Maintenance: Construct and maintain robust data platforms, centralized datasets, and reusable data products in strict accordance with platform governance and engineering best practices.
• Performance & Cost Optimization: Continuous tuning of data service performance, service availability, operational cost efficiency, and end-to-end data observability.
• Automation & Quality Control: Automate data operations, quality frameworks, and verification checks to guarantee data lineage, integrity, and organizational trust.
• Business Analytics Support: Translate complex business requirements into trusted data models and decision-support systems, taking complete end-to-end ownership of project deliverables.
• Stakeholder Management: Partner actively with cross-functional business and technical stakeholders to align on information requirements while clearly communicating technical architecture trade-offs.
• Process Modernization: Drive engineering efficiency across the data lifecycle by pioneering reusable design patterns and integrating cutting-edge AI coding tools (e.g., GitHub Copilot, Cursor) into workflows.

Requirements

• Experience: Minimum 3 to 6 years of hands-on data engineering experience, with a core focus on production-scale cloud environments.
• Snowflake Architecture Expertise: Deep practical knowledge of Snowflake core components, including virtual warehouses, database/schema structures, and advanced features such as Snowpark, Streams, and Tasks.
• ETL/ELT Proficiency: Expert-level mastery of SQL and extensive experience developing complex ETL/ELT pipelines in modern cloud ecosystems.
• Data Fundamentals: Minimum 2+ years of solid experience in data modeling methodologies, data quality validation frameworks, and modern DevOps CI/CD practices.

How to apply

Interested applicants, please email your resume to Karin Chan Wei Kien

Email: karinchan@recruitexpress.com.sg

Other

CEI Reg No: R1104584

Recruit Express Pte Ltd UEN: 199601303W

EA Licence No:99C4599