Senior Snowflake Data Engineer
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Job description
Are you a Snowflake expert ready to lead enterprise-scale data solutions? Join Fluidra as a Senior Data Engineer and shape our global architecture with tools like dbt, Python, Airflow, and CI/CD. You might be a great fit if you have: -Minimum 10 years of experience in data engineering, with at least 6 years in Snowflake development in enterprise-scale environments. Strong proficiency in: - SQL (Snowflake dialect, query tuning, UDFs, stored procedures). - dbt (Data Build Tool) for modular transformations and testing. - Python for orchestration and complex transformations. - Optional but valued: JavaScript, Scala, or Shell scripting. -Proven experience in Snowflake-specific capabilities: roles & RBAC, resource monitors, data sharing, materialized views, zero-copy cloning, dynamic masking, time travel, tasks, and streams. - Deep understanding of data warehousing principles, data modeling (3NF, dimensional, data vault), and ELT/ETL architecture patterns. - Expertise in, CI/CD for data
Requirements
environments, preferably with tools such as GitHub Actions, Azure DevOps, or GitLab CI. - Experience with orchestration frameworks (e.g., Airflow, Prefect, Dagster) and monitoring tools (e.g., Monte Carlo, Great Expectations). - Familiarity with modern data catalogs, governance tools, and data quality frameworks. Leadership Potential: -Demonstrated ability to lead technical initiatives, mentor teams, and influence architectural decisions. - Capable of translating strategic business needs into scalable, production-ready data solutions. Educational Background & Certifications: -Bachelor's or Master's degree in a relevant field: Computer Science, Engineering, Mathematics, Physics, or other STEM disciplines. - Strong foundation in algorithms, distributed computing, and database theory. Preferred certifications: - Snowflake SnowPro Core Certification (required). - SnowPro Advanced: Architect or Data Engineer (highly desirable). - Certifications in dbt, AWS/GCP/Azure Data Engineering, or equivalent. - Continuous learner mindset with a demonstrated commitment to staying up to date with modern data technologies.