Work Hard EverywhereJob Description
Headquarters: Buenos Aires, Argentina
URL: http://azumo.com
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...
URL: http://azumo.com
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...