Data Engineer (Snowflake)

This is a remote position.

• Design and develop scalable data pipelines using Snowflake.
  
• Build and optimize ETL/ELT workflows for structured and semi-structured data.
  
• Develop complex SQL queries, stored procedures, and data models.
  
• Integrate data from APIs, databases, SaaS platforms, and cloud storage.
  
• Optimize Snowflake performance, warehouse usage, and query efficiency.
  
• Implement data quality checks, monitoring, and troubleshooting.
  
• Support data warehousing, reporting, and analytics requirements.
  
• Work with stakeholders to translate business requirements into data solutions.
  

Requirements

• 4+ years of experience in Data Engineering.
  
• Strong hands-on experience with Snowflake.
  
• Advanced knowledge of SQL and data warehousing concepts.
  
• Experience with ETL/ELT tools such as dbt, Airflow, Fivetran, Matillion, or similar.
  
• Experience with Python for data processing and automation.
  
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
  
• Understanding of dimensional modelling, data lakes, and data warehouse architecture.
  
• Experience with Snowflake features such as Streams, Tasks, Snowpipe, Time Travel, and clustering is preferred.
  

Benefits

• Competitive salary and benefits package.
  
• Opportunity to work with a team of experienced product and tech leaders.
  
• Continuous learning and development opportunities
  
• Chance to make a significant impact on diverse and innovative projects