EX Squared LATAM

Analytics Engineer

EX Squared LATAM

full-time

Posted on:

Location Type: Remote

Location: Remote • 💃 Anywhere in Latin America

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudSQL

About the role

  • Design and maintain high-quality data models that transform raw data into analytics-ready datasets.
  • Model Shopify data including customers, orders, products, and transactional objects for business reporting.
  • Build and optimize SQL transformations to support reporting, dashboards, and downstream analytics needs.
  • Work with Databricks (or a similar lakehouse environment) to structure, orchestrate, and document scalable data pipelines.
  • Ensure continuity and data quality when source systems evolve or schemas change.
  • Collaborate with analysts and engineers to translate business requirements into reliable data structures.
  • Improve performance, documentation, and test coverage across the data modeling ecosystem.
  • Support dashboards and reporting tools by delivering well-designed, well-tested datasets.

Requirements

  • 4+ years of experience in analytics engineering, data engineering, or similar roles.
  • Advanced SQL skills — able to write efficient, maintainable, production-ready SQL.
  • Strong experience with Databricks or similar platforms (lakehouse architecture, Delta, notebooks, pipelines).
  • Understanding of dimensional modeling and data warehouse best practices.
  • Experience working with e-commerce data models and operational datasets.
  • Ability to communicate clearly, work autonomously, and make pragmatic technical decisions.
  • Familiarity with modern data workflows, documentation, and testing practices.
  • Nice to have (not required): experience with dbt, BI tools, cloud infrastructure (Azure/AWS).
Benefits
  • Competitive USD compensation aligned with technical seniority.
  • 100% remote work from anywhere in Latin America.
  • Flexible schedules and a people-first culture.
  • Opportunities for continuous learning, engineering growth, and working with modern data technologies.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata modelinganalytics engineeringdata engineeringdimensional modelingdata warehouse best practicesdbtdata pipelinesdata transformationsdata quality
Soft skills
communicationautonomypragmatic decision makingcollaboration