• Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment. • Partner with the client database and platform teams to manage external tables, flat files, and high-volume batch ingestion. • Identify and implement performance optimizations at the storage, query, and orchestration layers, including across a long-standing production warehouse with accumulated business logic. • Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs. • Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools. • Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns. • Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern. • Perform light Linux server administration and performance tuning on existing ETL infrastructure. • Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns rather than waiting for prescriptive direction. • Support potential future workstreams including master data management and golden record initiatives once data foundations are matured.

• Administrar, monitorear y optimizar ambientes de bases de datos Oracle. • Gestionar Oracle Database 19c, RAC, ASM, Grid Infrastructure y Data Guard. • Realizar actividades de performance tuning, backup/recovery y troubleshooting. • Administrar ambientes Oracle Cloud y Autonomous Database. • Garantizar disponibilidad, integridad y seguridad de bases de datos empresariales. • Trabajar junto a equipos de infraestructura y aplicaciones para soportar plataformas críticas. • Documentar configuraciones, procedimientos y estándares operativos. • Participar en proyectos de migración, actualización y transformación cloud

• Support the decision-making of our games operations through high-quality data products and well-structured dashboards; • Building and evolving integrations with third-party APIs, such as app stores, ad networks, and other external data providers; • Developing our internal event streaming process, responsible for the analytical and backend events; • Designing and maintaining the pipelines and tables that power our revenue, player, KPI, crashlytics, and experimentation data; • Operating and evolving the data platform itself, including Airflow, Databricks workspace, data lake, and Looker.

• Design, build, and maintain the reporting data warehouse using a layered model: bronze, silver, gold, semantic, and governance. • Build reliable ELT/ETL pipelines from ERP, CRM, production, budget, quality, catalog, and organization data sources. • Develop and optimize SQL transformations for daily facts, conformed dimensions, KPI views, cohort analytics, client 360 views, alerting views, and operational dashboards. • Maintain semantic views used by Power BI reporting, ensuring business users only access approved reporting layers. • Implement data quality checks, freshness validation, reconciliation tests, and SLA monitoring. • Support daily and hourly refresh pipelines, including incremental refresh logic for operational order and production data. • Implement governance, role-based access, and secure data access patterns for group, lab, clinic, owner, and user-level visibility. • Partner with BI developers to ensure Power BI reports are backed by clean, stable, documented semantic datasets. • Collaborate with business stakeholders to validate KPI definitions, reporting grain, ownership logic, and actionability of alerts. • Maintain documentation for data lineage, metric definitions, pipeline runbooks, and acceptance tests.