Sr. Snowflake Developer (Strong DBT Experience)

Hudson Manpower • Jersey, NJ

21h • Hybrid

About The Position

Job Description Design and develop scalable data pipelines for cloud data platforms Build ETL/ELT processes and operational data marts Analyze metadata, pipeline logs, and data lineage Support data observability, monitoring, and SLA requirements Collaborate with cross-functional teams Apply best practices in data engineering Location: Jersey City, NJ – Hybrid Duration: Long Term Work Authorization: USC/GC Only (W2) Mandatory Skills Snowflake DBT Airflow SQL / PL-SQL Python SnowPro Core Certification Job requirements DBT Required Experience DBT macros and overwriting DBT custom schemas DBT materialization Snowflake cluster keys Snowflake SQL functions Required Experience 7+ years of IT/Data Engineering experience 4–5 years of SQL/PLSQL development 2+ years Snowflake and DBT experience Strong Python and Pandas experience Experience building ETL/ELT pipelines Cloud data platform experience (Azure preferred) Experience with Airflow Strong data modeling knowledge CI/CD and DevOps exposure preferred All done! Your application has been successfully submitted!

Requirements

• Snowflake
• DBT
• Airflow
• SQL / PL-SQL
• Python
• SnowPro Core Certification
• DBT macros and overwriting
• DBT custom schemas
• DBT materialization
• Snowflake cluster keys
• Snowflake SQL functions
• 7+ years of IT/Data Engineering experience
• 4–5 years of SQL/PLSQL development
• 2+ years Snowflake and DBT experience
• Strong Python and Pandas experience
• Experience building ETL/ELT pipelines
• Cloud data platform experience (Azure preferred)
• Experience with Airflow
• Strong data modeling knowledge

Nice To Haves

• CI/CD and DevOps exposure preferred

Responsibilities

• Design and develop scalable data pipelines for cloud data platforms
• Build ETL/ELT processes and operational data marts
• Analyze metadata, pipeline logs, and data lineage
• Support data observability, monitoring, and SLA requirements
• Collaborate with cross-functional teams
• Apply best practices in data engineering

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed