Analytics Engineer

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EX Squared LATAM

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B2B • SaaS • Human Resources

EX Squared LATAM is a staffing solutions provider that specializes in connecting companies with highly skilled tech professionals from around the globe. Since 2001, they have developed a reputation for delivering vetted talent on time and within budget, operating primarily in the field of nearshore staffing. With over 550 certified experts, EX Squared LATAM focuses on meeting the high standards of their clients and is committed to providing excellent service and expertise in technology, engineering, and agile project management.

501 - 1000 employees

Founded 2000

🤝 B2B

☁️ SaaS

📋 Description

• 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

• 100% remote work from anywhere in Latin America • Flexible schedules • People-first culture • Opportunities for continuous learning, engineering growth, and working with modern data technologies