Why This Role Stands Out
This hybrid Data Engineer role offers exciting opportunities to design and build scalable data solutions using Snowflake, perfect for mid-senior professionals eager to develop their cloud data engineering expertise. You'll collaborate with a dynamic team to deliver impactful data solutions, so if you have strong Snowflake and SQL skills, this is a fantastic chance to grow your career.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Lake Mary, FL, United States
Posted
Yesterday
SQLAWSETLSnowflakeAzureData PipelineGoogle CloudPython
Job Description
Title: Data Engineer – Snowflake
Location: Lake Mary, FL
Type: Full-Time / Contract
Job Summary:
We are looking for a strong Data Engineer with extensive Snowflake expertise to design, develop, and maintain scalable data solutions. The ideal candidate should have strong hands-on experience in Snowflake, SQL, ETL/ELT, and cloud data engineering.
We are looking for a strong Data Engineer with extensive Snowflake expertise to design, develop, and maintain scalable data solutions. The ideal candidate should have strong hands-on experience in Snowflake, SQL, ETL/ELT, and cloud data engineering.
Key Responsibilities:
- Design and develop scalable data pipelines and data integration solutions.
- Develop complex SQL queries, stored procedures, and transformations in Snowflake.
- Build and optimize Snowflake data warehouses, including performance tuning and cost optimization.
- Develop ETL/ELT pipelines using modern data engineering tools.
- Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Implement data quality, validation, monitoring, and error-handling processes.
- Collaborate with data architects, analysts, and business teams to deliver data solutions.
Required Skills:
- Strong hands-on experience with Snowflake.
- Excellent SQL and data modeling skills.
- Strong experience in ETL/ELT and data pipeline development.
- Experience with Python preferred.
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