Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America

<p> <strong>Headquarters:</strong> Buenos Aires, Argentina <br /><strong>URL:</strong> <a href="http://azumo.com">http://azumo.com</a> </p> <strong>Description</strong><br><p>Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is <strong>FULLY REMOTE based in Latin America</strong>.</p><p></p><p>This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.</p><p>The ideal candidate has strong hands-on experience with <strong>Databricks</strong>, <strong>DBT</strong>, <strong>AWS</strong>, scalable <strong>ETL </strong>pipelines, data governance, and modern analytics engineering practices.</p><p>Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.</p><p></p><br><br><strong>Requirements</strong><br><p><strong>The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.</strong></p><p><strong>Responsibilities:</strong></p><p>Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS</p><ul><li>Improve ingestion pipeline quality, reliability, scalability, and governance</li><li>Develop and optimize core data models and foundational data tables</li><li>Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting</li><li>Implement data governance, data quality, lineage, and observability practices</li><li>Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making</li><li>Optimize large-scale data processing workflows for performance and cost efficiency</li><li>Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics</li><li>Contribute