moovx - Senior Data Engineer
Requirements
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or equivalent practical experience. • Advanced SQL & relational databases: Expert-level SQL with daily hands-on experience building complex queries, indexing, and working with relational databases. • Cloud data warehousing: Proven experience with Snowflake (or an equivalent modern cloud data warehouse). • Scripting & programming: Advanced proficiency in an object-oriented and/or functional language such as Python, Java, C++, Scala, etc., for data engineering and automation. • Data visualization & BI tools: Experience building production-grade reports and interactive dashboards in Tableau, Power BI, or similar. • Analytical & problem-solving skills: Strong ability to perform root-cause analysis across processes and datasets to resolve complex data issues and identify opportunities for optimization. • Mindset: Fast learner, highly organized, detail-oriented, with strong ownership and a problem-solving drive. • Experience with Sigma for modern cloud-native analytics. • Retail domain experience, especially in Financial Planning or Merchandising / Inventory Planning.
Responsibilities
• Partner directly with business stakeholders to deeply understand analytics needs and pipeline requirements. • Translate complex stakeholder requirements into practical, detailed technical engineering documentation. • Assess existing data architectures and define optimal strategies and methodologies for delivering high-value business insights. • Identify and execute critical data transformations to refine raw data into optimized, production-ready datasets and deliverables. • Gather, model, and aggregate large and complex datasets that meet functional and non-functional enterprise requirements. • Design, build, and optimize complex SQL queries and scalable data pipelines for end-user analytics. • Develop intuitive reports, data visualizations, and interactive dashboards for end users. • Conduct deep-dive root cause analysis on internal/external data sources and pipeline processes to detect anomalies, resolve issues, and drive continuous performance improvements. • Design, build, and deploy scalable data warehousing solutions using Snowflake or equivalent modern cloud platforms.
Benefits
• Competitive salaries across LATAM (USD). • 100% remote work from anywhere in LATAM. • A collaborative, fast-growing global team. • Daily collaboration with international teams, including the US. • High-visibility role with ownership and direct business impact.
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