Azumo
Gaming
DataEngineer-Databricks/AWS(Gaming&LiveOps)-LatinAmerica-Remote
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“Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote at Azumo. Skills: Databricks, AWS, ETL/ELT pipelines, SQL, Python, DBT, data modeling, data governance. Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS. Improve ingestion pipeline quality, reliability, scalability, and governance”
What You'll Achieve.
data and analytics infrastructure development; scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem; 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; 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; data platform modernization
Industry & Context.
passion for problem solving; solving complex problems
FULLY REMOTE based in Latin America
What They're Looking For.
Must Have
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 work ethic and a passion for problem solving, Professional English proficiency (B2/C1)
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
What You'll Do.
and maintain scalable ETL/ELT pipelines using Databricks and AWS
Improve ingestion pipeline quality
Develop and optimize core data models and foundational data tables
Build analytics-ready datasets to support player insights
and operational reporting
Implement data governance
and observability practices
Optimize large-scale data processing workflows for performance and cost efficiency
Support centralized player data models
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
and data platform modernization
How You'll Work.
Team & Collaboration
Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making; Work independently within distributed engineering teams; Culture emphasizes collaboration
Communication Scope
communication and collaboration skills; Professional English proficiency (B2/C1)
Full Job 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 * Exper
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