Data Engineer – Databricks & AWS (Gaming & LiveOps) – Remote Latin America

About the role

Azumo is seeking a highly motivated Data Engineer to design, build, and maintain scalable data and analytics infrastructure for its gaming ecosystem. The role is fully remote and focuses on delivering reliable pipelines, governed data models, and analytics‑ready datasets that support player insights, live operations, and publishing intelligence.

Key responsibilities

• Design, develop, and operate ETL/ELT pipelines on Databricks and AWS.
• Improve pipeline quality, reliability, scalability, and governance.
• Create and optimize core data models and foundational tables for analytics.
• Build datasets for player behavior, esports analytics, and operational reporting.
• Implement data governance, quality, lineage, and observability practices.
• Collaborate with product, analytics, engineering, and business teams to enable data‑driven decisions.
• Optimize large‑scale data processing for performance and cost efficiency.
• Maintain orchestration workflows and scheduling systems.
• Participate in architectural discussions on scalability, governance, and platform modernization.

Required profile

• Strong hands‑on experience with Databricks, AWS, and modern analytics engineering.
• Proven ability to build scalable ETL/ELT pipelines and data models.
• Experience working with large structured and semi‑structured datasets.
• Solid understanding of data governance, quality, and observability.
• BS or Master's degree in Computer Science or related field.
• Excellent communication and collaboration skills; ability to work independently in distributed teams.

Required skills

• Databricks
• AWS data ecosystem (e.g., S3, Redshift, Glue)
• SQL
• Python
• DBT
• Apache Airflow or similar orchestration tools
• ETL/ELT pipeline development
• Data modeling and analytics engineering
• Data governance, data quality, lineage, observability
• Cost optimization in cloud environments