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

Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . 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. The ideal candidate has strong hands-on experience with Databricks , DBT , AWS , scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS - Improve ingestion pipeline quality, reliability, scalability, and governance - Develop and optimize core data models and foundational data tables - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting - Implement data governance, data quality, lineage, and observability practices - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making - Optimize large-scale data processing workflows for performance and cost efficiency - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations - Build and maintain reliable orchestration workflows and scheduling systems - Participate in architectural discussions around scalability, governance, and data platform modernization Required Skills: Strong experience with Databricks - Strong SQL and Python programming experience - Experience building scalable ETL/ELT pipelines - Experience with AWS data ecosystem and cloud-native architectures - Experience with DBT, Apache Airflow or similar orchestration tools - Strong understanding of data modeling and analytics engineering - Experience working with large-scale structured and semi-structured datasets - Experience implementing data governance and data quality practices - Experience optimizing pipeline performance and scalability - Strong communication and collaboration skills - Ability to work independently within distributed engineering teams Nice to Have: - Gaming industry experience - LiveOps or telemetry pipeline experience - Experience supporting analytics for player behavior, engagement, monetization, or publishing systems - Experience with real-time or streaming data systems - Experience with viewer analytics or esports data ecosystems - Experience with KPI reporting and operational dashboards - Familiarity with cost optimization and cloud infrastructure analytics - Experience working in fast-paced product engineering organizations Basic Qualifications: - BS or Master’s degree in Computer Science, related degree, or equivalent experience - 5+ years experience with data-related and data management responsibilities - Deep expertise in designing and building data warehouses and big data analytics systems - Practical experience manipulating, analyzing and visualizing data - Self-driven and motivated, with a strong work ethic and a passion for problem solving - Professional English proficiency (B2/C1) Benefits Company benefits include: - Paid Time Off - Mentored Career Development - U.S. Holidays - USD Remuneration - Profit Sharing - Maternity Coverage - 100% Remote About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our tal