Postúlate en Kit Empleo: kitempleo.cl/empleo/1dgi9m

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.

We are seeking an Analytics Engineer to contribute to our next level of growth and expansion.

Job Responsibilities
- 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, not_null,



accepted_values, 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 pipeline support.
- Ability to wo

Postúlate en Kit Empleo: kitempleo.cl/empleo/1dgi9m

📌 Analytics Engineer (Santiago)
🏢 Blend
📍 Santiago