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Niche Snowflake/Matillion requirements with metro location create moderate applicant competition.
Data engineering is transferable but requires specific tooling expertise, yielding medium background sensitivity.
Mandatory 6+ years plus Snowflake, Matillion, Python, cloud and ETL skills indicates high shortlisting strictness.
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Design, develop, and maintain scalable ETL/ELT pipelines primarily using Matillion and optimize data warehouse solutions on Snowflake.
Develop automation scripts and robust data processing frameworks leveraging Python to support business analytics.
Optimize Snowflake performance including query tuning, clustering, and warehouse management while collaborating with cross-functional teams to deliver high-quality data solutions.
6+ years of experience in Data Engineering.
Strong hands-on expertise in Python, Matillion, and Snowflake.
Experience building ETL/ELT pipelines, data integration, and strong SQL skills including query optimization.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Proven experience working in agile environments integrating complex, multi-source data pipelines.
Demonstrated capability in scaling cloud data warehouse solutions and optimizing performance on Snowflake.
Skilled in automation, coding standards, and cross-team collaboration to deliver enterprise-grade data platforms.