Senior Snowflake Data Engineer

Talent Search People
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

JavaScript
Third Normal Form
Airflow
Amazon Web Services (AWS)
Azure
Continuous Integration
Information Engineering
ETL
Data Sharing
Data Systems
Data Vault Modeling
Data Warehousing
Database Theory
Distributed Systems
Github
Python
Query Optimization
Role-Based Access Control
Shell Script
SQL Stored Procedures
SQL Databases
Snowflake
Data Build Tool (dbt)
Gitlab-ci
Information Technology

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.

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