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 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.