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
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