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Requirements and responsibilities
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.Responsibilities:Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWSImprove ingestion pipeline quality, reliability, scalability, and governanceDevelop and optimize core data models and foundational data tablesBuild analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reportingImplement data governance, data quality, lineage, and observability practicesCollaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-makingOptimize large-scale data processing workflows for performance and cost efficiencySupport centralized player data models, viewer analytics, publishing activity systems, and operational metricsContribute to the unification of fragmented data ecosystems across multiple game teams and organizationsBuild and maintain reliable orchestration workflows and scheduling systemsParticipate in architectural discussions around scalability, governance, and data platform modernizationRequired Skills:Strong experience with DatabricksStrong SQL and Python programming experienceExperience building scalable ETL/ELT pipelinesExperience with AWS data ecosystem and cloud-native architecturesExperience with DBT, Apache Airflow or similar orchestration toolsStrong understanding of data modeling and analytics engineeringExperience working with large-scale structured and semi-structured datasetsExperience implementing data governance and data quality practicesExperience optimizing pipeline performance and scalabilityStrong communication and collaboration skillsAbility to work independently within distributed engineering teamsNice to Have:Gaming industry experienceLiveOps or telemetry pipeline experienceExperience supporting analytics for player behavior, engagement, monetization, or publishing systemsExperience with real-time or streaming data systemsExperience with viewer analytics or esports data ecosystemsExperience with KPI reporting and operational dashboardsFamiliarity with cost optimization and cloud infrastructure analyticsExperience working in fast-paced product engineering organizationsBasic Qualifications:BS or Master’s degree in Computer Science, related degree, or equivalent experience5+ years experience with data-related and data management responsibilitiesDeep expertise in designing and building data warehouses and big data analytics systemsPractical experience manipulating, analyzing and visualizing dataSelf-driven and motivated, with a strong work ethic and a passion for problem solvingProfessional English proficiency (B2/C1)BenefitsCompany benefits include:Paid Time OffMentored Career DevelopmentU.S. HolidaysUSD RemunerationProfit SharingMaternity Coverage100% RemoteAbout AzumoBased 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 talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
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