Blend360
Marketing And Advertising
AnalyticsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineer at Blend360. Skills: dbt, SQL, data modeling, AWS data services. Implement the curated data model layer in dbt across 18 data domains. Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers”
Industry & Context.
What They're Looking For.
Must Have
3+ years of experience in Analytics Engineering or Data Modeling roles, hands-on expertise building layered dbt pipelines, working with cloud-based analytical data platforms, Advanced proficiency in dbt, dbt model development, dbt testing frameworks, dbt macros, dbt incremental strategies, Expert-level SQL skills, ability to write performant, maintainable queries across large datasets, Solid understanding of data modeling principles, dimensional modeling, layered architecture best practices, Hands-on experience with AWS data services, Athena, Redshift Serverless, Working knowledge of Python for data engineering tasks and pipeline support, Ability to work cross-functionally across multiple data domains, communicate technical concepts clearly to stakeholders, English: Advanced
Nice to Have
AWS Certifications, Study plans, courses and other certifications, English Lessons, Learn from your teammates on our Tech Tuesdays!, Mentoring and Development opportunities
What You'll Do.
Implement the curated data model layer in dbt across 18 data domains
Design and build dbt models across the full layered architecture: staging
Implement comprehensive dbt testing strategies
Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently
How You'll Work.
Team & Collaboration
working closely with the Onshore Analytics Engineering Lead; communicate technical concepts clearly to stakeholders; Ability to work cross-functionally across multiple data domains
Communication Scope
communicate technical concepts clearly to stakeholders; English: Advanced
Full Job Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com) We are seeking an Analytics Engineer to contribute to our next level of growth and expansion. What is this position about? * Implement the curated data model layer in dbt across 18 data domains, working closely with the Onshore Analytics Engineering Lead. * Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers. * Implement comprehensive dbt testing strategies, including unique, notnull, acceptedvalues, relationships, and custom tests to ensure data quality and reliability. * Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently. * Generate and maintain thorough project documentation, including column descriptions and lineage graphs, to support transparency and team collaboration. ## Qualifications * Advanced proficiency in dbt, including model development, testing frameworks, macros, and incremental strategies. * Expert-level SQL skills, with strong ability to write performant, maintainable queries across large datasets. * Solid understanding of data modeling principles, including dimensional modeling and layered architecture best practices. * Hands-on experience with AWS data services, particularly Athena and Redshift Serverless. * Working knowledge of Python for data engineering tasks and p
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