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