Technology and Data - Database Engineer 3 - Contingent

3-7 years of experience supporting Oracle databases in enterprise environments. The ideal candidate | Engineering-focused professional with a passion for automation, AI, and operational excellence.

The ideal candidate | Engineering-focused professional with a passion for automation, AI, and operational excellence. Demonstrates a proactive approach to problem prevention, builds scalable and reusable solutions, and continuously seeks innovative ways to improve reliability, efficiency, and knowledge sharing

Category Name Required Importance Experience Technical Skill Oracle Yes 1 6 Years Technical Skill Exadata Database Machine Administrator No 1 1 - 2 Years xms-USIT oracle Database Yes 1 6 Years xms-USIT Performance Tuning Yes 1 4 - 6 Years

Additional Skills:

Required Qualifications " 3-7 years of experience supporting Oracle databases in enterprise environments. " Strong understanding of: o Oracle Database Administration o Oracle SQL o PL/SQL o Query tuning o Execution plans o Performance diagnostics " Experience working with: o AWR o ASH o SQL Tuning o Optimizer behavior o Statistics management " Experience developing automation solutions for database operations. " Strong analytical and problem-solving skills. " Ability to translate complex technical findings into clear operational recommendations. Preferred Qualifications AI & Automation " Understanding of: o MCP (Model Context Protocol) o Agentic AI architectures o Agent-to-agent workflows o Retrieval Augmented Generation (RAG) o Generative AI concepts " Familiarity with AI governance, explainability, and trusted data practices. ________________________________________ Oracle AI Experience " Experience with Oracle 23ai or Oracle 26ai capabilities. " Understanding of: o Vector search o AI-assisted SQL development o Built-in AI services o Machine learning features within Oracle ________________________________________ Programming & Software Engineering " Experience with Python, including: o Data analysis o API integration o Workflow automation o AI frameworks " Experience consuming REST APIs. " Familiarity with Git-based development workflows. " Knowledge of JSON, JSON processing, and structured data exchange. ________________________________________ Data Science & Machine Learning " Familiarity with: o Predictive analytics o Supervised learning o Anomaly detection o Feature engineering o Model validation " Experience working with operational telemetry data is highly desirable.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.