Data Engineer( Snowflake, ETL/ELT ) (Weekends,shifts)– Contract #IKR
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Summary
Contract Data Engineer role in Singapore focused on designing, building, and optimizing scalable ETL/ELT data pipelines and platforms on Snowflake, including data quality automation and stakeholder-facing data modeling. Requires 3-6 years of cloud data engineering with expert SQL and Snowflake (Snowpark, Streams, Tasks) skills; involves weekend/shift work.
Job Description
- 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.
Interested applicants, please email your resume to Karin Chan Wei Kien
Email: karinchan@recruitexpress.com.sg
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