Snowflake Engineer

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profile Job Location:

Hollywood, FL - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Snowflake Engineer

Data Engineering skills

  • Experience in building and maintaining enterprise Data Lakes andor Data Warehouses.
  • Design develop and maintain scalable high performance data pipelines and ETL/ELT workflows using Snowflake and modern data engineering best practices.
  • Architect and optimize Snowflake data models including schema design data clustering performance tuning and cost optimization.
  • Collaborate closely with data analysts data scientists product teams and business stakeholders to convert clear requirements into robust data engineering solutions.
  • Troubleshoot and resolve issues related to data accuracy performance and pipeline reliability.
  • Contribute to architectural decisions development standards and overall platform strategy.
  • Work independently on complex tasks while also contributing to a collaborative team oriented environment.

Required Qualifications

  • 7 years of professional experience in Data Engineering or related fields.
  • 5 years of hands-on experience with Snowflake including Snowflake SQL Snowflake Tasks Streams Warehouses RBAC Clustering and Performance Optimization.
  • Strong expertise in SQL modern ETL/ELT frameworks and data pipeline development.
  • Experience with cloud platforms such as Azure or AWS
  • Proficiency in Python for data engineering.
  • Familiarity with orchestration tools such as Azure Data Factory and/or Airflow
  • Solid understanding of data modeling data warehousing principles and distributed data systems.
  • Proven ability to work independently owning end to end solutions from requirement to deployment.
  • Excellent communication and teamwork skills with the ability to work across technical and business teams.

Preferred Qualifications

  • Experience with CI/CD pipelines for data engineering workloads.
  • Knowledge of Delta Lake Databricks Spark or other big data processing frameworks.
  • Background in enterprise data platforms with high volumes and strict SLAs.
  • Experience implementing data governance metadata management and quality frameworks.
  • SnowPro certification(s) a plus.

Soft Skills

  • Strong problem-solving abilities and critical thinking.
  • Ability to translate ambiguous or evolving requirements into structured technical solutions.
  • Collaborative mindset with the ability to mentor junior engineers.
  • Strong sense of ownership accountability and quality.
Snowflake Engineer Data Engineering skills Experience in building and maintaining enterprise Data Lakes andor Data Warehouses. Design develop and maintain scalable high performance data pipelines and ETL/ELT workflows using Snowflake and modern data engineering best practices. Architect and o...
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