EX Squared LATAM

Analytics Engineer

EX Squared LATAM

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇦🇷 Argentina

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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.
  • Hands-on experience working with Shopify data (non-negotiable).
  • 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 modelingdata transformationdimensional modelingdata warehousingdata pipeline orchestrationdata quality assurancedata documentationtesting practicese-commerce data models
Soft skills
communicationautonomytechnical decision-making