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Metro location and general Data Engineer demand balanced by seniority and specialized Azure/Snowflake/DBT requirements.
Skills in Azure, Snowflake, DBT translate across industries, though cloud-stack specificity moderates fit.
Mandatory 8+ years and required Azure, Snowflake, DBT skills create stringent technical filters.
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Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
Build data integration workflows and write optimized SQL queries for large-scale cloud-based datasets.
Monitor, troubleshoot, and optimize data pipelines; maintain data quality, governance, and collaborate with cross-functional teams in a cloud-native environment.
8+ years of experience in data engineering roles with Azure and Snowflake.
Proven expertise with Azure Cloud Platform services, especially Azure Data Factory.
Proficiency in SQL and hands-on experience with Snowflake and DBT.
Bachelor's or master's degree in computer science, data engineering, information systems, or related field.
Experienced in designing scalable data pipelines in cloud environments using Azure and Snowflake.
Strong technical skills in Azure Data Factory, SQL, and DBT for complex data transformations.
Capable of translating business requirements into technical data solutions and optimizing pipeline performance.