Design, build, and operate systems for SaaS license usage measurement, renewals insights, adoption tracking, and reporting.Translate business and product requirements into scalable, production-ready solutions across Oracle SaaS applications.Architect, design, and optimize relational databases that are secure, performant, and scalable.Build and maintain PL / SQL packages, triggers, and complex queries supporting mission-critical workflows.Develop robust ETL pipelines and streaming processes (GoldenGate, Kafka, Spark, Airflow, ODI) to integrate raw data across diverse Oracle sources.Define strategies for data quality, governance, and reliability to support analytics and AI / ML models.Develop and operationalize ML models for anomaly detection, predictive analytics, and intelligent classification.Apply Generative AI to accelerate query optimization, improve observability, generate documentation, and increase developer productivity.Lead performance tuning, query optimization, and capacity planning for complex workloads.Implement proactive monitoring, dashboards, and alerting for databases and AI / ML workflows.Debug and resolve cross-system issues spanning databases, pipelines, and application layers.Collaborate with application developers and product teams to embed AI / ML insights into workflows and customer-facing solutions.Own end-to-end delivery of database, data engineering, and AI / ML solutions across multiple Oracle SaaS products.Communicate complex technical concepts clearly to both technical and non-technical stakeholders.Drive innovation by adopting new tools, practices, and architectures to modernize the TINNO ecosystem.Skills Required
Oracle Database, Sql, Pl / sql, Data Integration, Etl