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

RECRUIT EXPRESS PTE LTD•NGEE ANN CITY, 391A ORCHARD ROAD, 238873, Singapore
Full-timeMid Level
S$5,000 - S$10,000/month
👁️ 0 views•📝 0 applications•Posted 10/16/2026•Expires 11/16/2026
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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 re

Required Skills

CI/CDCross-functional CollaborationData EngineeringDevOpsETLQuality ControlSnowflakeSQLStakeholder Management

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