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Mid-level metro data-engineer role with common 5-year band and generalist title increases competition.
Core data engineering skills transfer across industries, though Snowflake/Matillion focus adds moderate specialization.
Mandated 5+ years plus specific Snowflake, Matillion, and leadership skills enforce strict filters.
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Lead design, development, and implementation of scalable cloud data engineering solutions using Python, Matillion, and Snowflake.
Manage end-to-end delivery of data integration, ETL/ELT, and data warehousing projects, ensuring operational excellence.
Mentor data engineers, optimize Snowflake performance, enforce coding standards, and collaborate with stakeholders for technical solutions.
5+ years of experience in Data Engineering with leadership or project management experience.
Strong hands-on expertise in Python, Matillion, and Snowflake mandatory.
Advanced SQL and data modeling skills required; experience with cloud platforms (AWS, Azure, or GCP).
Familiarity with Git, CI/CD pipelines, Agile/Scrum, and DevOps practices.
Experienced in leading data engineering teams or initiatives with technical and managerial accountability.
Comfortable working at the intersection of technology and business to translate requirements into scalable data solutions.
Skilled in optimizing cloud data warehouses and pipelines with a strong operational and quality focus.