Oracle Exadata with Python

Location: Charlotte, NC 28202, 28262 | Las Colinas / Irving, TX 75039 | Chandler, AZ 85224 | Phoenix, AZ 85004 | Minneapolis, MN 55415 | Des Moines / West Des Moines, IA 50266

Duration: 18 months with possible extension

Posted by: Rene Sadlier

Responsibilities

• Consult on or participate in moderately complex initiatives and deliverables within Database Engineering and contribute to large-scale planning related to Database Engineering deliverables.
• Review and analyze moderately complex Database Engineering challenges that require an in-depth evaluation of variable factors.
• Contribute to the resolution of moderately complex issues and consult with others to meet Database Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
• Collaborate with client personnel in Database Engineering.

Required Skills

• 4+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 3-7 years of experience supporting Oracle databases in enterprise environments.
• Strong understanding of: Oracle Database Administration, Oracle SQL, PL/SQL, Query tuning, Execution plans, Performance diagnostics.
• Experience working with: AWR, ASH, SQL Tuning, Optimizer behavior, 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.

Desired Skills

• AI & Automation: Understanding of MCP (Model Context Protocol), Agentic AI architectures, Agent-to-agent workflows, Retrieval Augmented Generation (RAG), 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 Vector search, AI-assisted SQL development, Built-in AI services, Machine learning features within Oracle.
• Programming & Software Engineering: Experience with Python, including Data analysis, API integration, Workflow automation, 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 Predictive analytics, Supervised learning, Anomaly detection, Feature engineering, Model validation; Experience working with operational telemetry data is highly desirable.