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Common data-engineer role with DBT specificity and metro hiring, creating moderate applicant competition.
DBT, SQL and Snowflake skills are broadly transferable across industries, reducing background sensitivity.
Mandatory DBT and SQL skills increase filtering, but absence of explicit years keeps shortlisting moderately flexible.
Own data engineering tasks with strong emphasis on DBT and SQL implementation.
Develop and maintain data models, reporting, and dashboard solutions to support business decisions.
Engage with stakeholders to translate business requirements into actionable data solutions.
Strong hands-on experience in DBT and SQL.
Experience in data analysis, data modeling, and reporting/dashboarding.
Familiarity with modern cloud-based data platforms such as Snowflake or similar.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in modern cloud analytics environments, especially with DBT and SQL workflows.
Capable of managing stakeholder communications and translating business needs into technical data solutions.
Exposure to AI/GenAI tools and familiarity with Renewals or Finance domains is a plus but not mandatory.