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Snowflake DBT Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake DBT Developer on a contract basis for 6 months, paying $80/hour. Required skills include DBT, Snowflake, Airflow, and SQL. Candidates should have 5+ years in application development and experience in cloud-native solutions, preferably Azure.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
640
🗓️ - Date discovered
April 1, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Edison, NJ
🧠 - Skills detailed
#Data Architecture #Containers #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Monitoring #Snowflake #Azure #Data Pipeline #Cloud #BI (Business Intelligence) #Scala #Metadata #Data Lineage #Airflow #Data Warehouse #DevOps #Data Modeling #dbt (data build tool) #Observability #Data Analysis #Data Engineering #Automation #Data Quality #Public Cloud
Role description
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Edison, US

Job Type : Contract

Work location : Onsite

Salary : $80 / Hour

Description

Mandatory Skills:

            DBT (Data Build Tool) Snowflake (Cloud Data Warehouse) Airflow (Workflow Automation) SQL / PLSQL

            Experience & Technical Requirements:

            5+ years of experience in application development using SQL. Minimum 3+ years of hands-on experience with DBT and Snowflake. Strong Airflow experience is highly preferred. Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake. 3+ years of experience in ETL/ELT pipeline development using various tools. Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers. Experience as a Data Analyst or similar role. Expertise in Data Modeling, process metadata, observability, and monitoring of data platforms. Ability to design scalable data pipelines using modern cloud data stack technologies. ETL process development, data application design, and data pipeline implementation for Operational Business Intelligence Marts. Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations. Collaborate with cross-functional teams to define observability requirements related to SLA, operational needs, data quality, and proactive monitoring. Ideal Candidate:

            A Senior Data Engineer with expertise in SQL, DBT, and Snowflake. Strong experience in cloud-native data pipeline development, preferably on Azure. Background in banking/capital markets or financial data is a plus. Passionate about data observability, monitoring, and scalable data architecture

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Required Skill Set

Snowflake Airflow