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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, metro location, common data engineer title, broad popular tech stack increases competition.
Data engineering skills are broadly transferable across industries despite some preference for financial/operational domain.
Moderate due to specific mandatory stack requirements (Fabric, Snowflake, dbt, Power BI) but no strict years requirement.
Job Description
Structured overview of role & requirementsAbout This Role
Design and build scalable data solutions including semantic models, data marts, and analytics platforms using Microsoft Fabric, Snowflake, and dbt.
Develop and maintain data transformation pipelines and dashboards using Power BI and Tableau to deliver actionable business insights.
Collaborate with stakeholders to gather data requirements, support AI-driven analytics, and communicate insights effectively at all organizational levels.
Minimum Requirements
Bachelor's degree in Computer Science, Data Analytics, Engineering, or related field.
Experience with Microsoft Fabric, Power BI, Snowflake, and dbt technologies.
Strong skills in SQL, data pipeline development, dashboard creation, and data visualization.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building end-to-end data engineering and analytics solutions on cloud-based platforms.
Skilled in translating complex business and operational requirements into semantic data models and visualizations.
Comfortable working with AI-enabled analytics, including Generative AI, and handling financial and operational datasets.