Data Engineer - Snowflake, DBT

Senior Data Engineer
Location: Florida (Orlando) / Remote
Experience Required: 6+ Years

About the Role - We are looking for an experienced Data Engineer with over 6 years of experience to design, build, and optimize data pipelines and data models that drive business insights. The ideal candidate has strong expertise in SQL, Python, data warehousing, and hands-on experience with Snowflake and DBT Cloud.
Key Responsibilities:

Required Skills:
6+ years of experience in data engineering roles.
Strong proficiency in SQL and data modeling principles.
Deep understanding of ETL/ELT processes and data warehousing concepts.
Hands-on experience with Snowflake (data warehouse) and DBT (for data quality / data transformation).
Snowflake: Proficiency in Snowflake data warehouse including architecture, data warehousing, security, and performance optimization
Proven expertise in DBT (Core / Cloud) in 1 or 2 projects :
Building modular, maintainable, and reusable DBT models and macros.
Managing DBT projects and integrating them with CI/CD pipelines.
Writing and scheduling DBT tests for data quality assurance.
Implementing environment setups (dev/stage/prod) and version control for DBT projects.
Good hands-on experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster).
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Soft Skills:
- Strong analytical and problem-solving abilities
- Excellent communication skills with experience working in consulting or client-facing roles
- Strong attention to detail and commitment to data quality
Education & Certifications:
- Bachelors / Masters degree in Computer Science, Engineering, Mathematics, or related technical field
- AWS DE / Solution architect certifications will be an added advantage
- Snowflake certifications (SnowPro Core, Advanced) is a big plus