Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America
Azumo · Buenos Aires · Remote
Azumo
Azumo operates as a nearshore software development and staffing firm, pairing US and global clients with engineering talent concentrated in Latin America, with a hub in Buenos Aires. Its work spans custom application development, machine learning engineering, data science, and data engineering across Python, .NET, JavaScript, and Java stacks—positioning it alongside nearshore and IT-services players like Encora, Globant, and Toptal's staffing model, competing on time-zone alignment and technical depth rather than sheer scale. Like many nearshore firms that emerged to serve North American companies seeking cost-effective, culturally aligned engineering partners, Azumo built its reputation on delivering senior-level technical talent rather than junior staff augmentation.
Gig 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 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 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 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 Professional English proficiency (B2/C1) Benefits Company benefits include: Paid Time Off Mentored Career Development U. S. Holidays USD Remuneration Profit Sharing Maternity Coverage 100% Remote About Azumo Based 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. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo. co To apply: https://weworkremotely. com/remote-jobs/azumo-data-engineer-databricks-aws-gaming-liveops-latin-america
Requirements to meet
Disclaimer
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Skills required
Machine Learning (required)
GapLearn exactly what this gig asks for:
Intro to Machine Learning
Kaggle Learn · beginner · $0
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at a beginner level.
Machine Learning Specialization
DeepLearning.AI · beginner · $0
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at a beginner level.
Artificial Intelligence (6.034)
MIT OpenCourseWare · intermediate · $0
This course covers Machine Learning, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at an intermediate level.
Python (required)
GapLearn exactly what this gig asks for:
Data Analysis with Python
freeCodeCamp · beginner · $0
This course directly covers Python, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at a beginner level.
Pandas
Kaggle Learn · beginner · $0
This course covers Python, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at a beginner level.
CS50's Introduction to Artificial Intelligence with Python
CS50 · intermediate · $0
This course directly covers Python, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at an intermediate level.
SQL (required)
GapAWS (required)
GapAnalytics (required)
GapLearn exactly what this gig asks for:
Data Analysis with Python
freeCodeCamp · beginner · $0
This course covers Analytics, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at a beginner level.
Pandas
Kaggle Learn · beginner · $0
This course covers Analytics, which appears as a requirement in the Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America posting at a beginner level.
Airflow (required)
GapDatabricks (required)
GapETL (required)
Gap