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Metro location, broad generalist skillset, and recognizable global brand increase candidate competition.
Core data engineering and PL/SQL skills transfer well, but enterprise AI focus raises domain specificity.
Mandatory PL/SQL, Python and enterprise AI experience plus explicit 2-year minimum increases strictness.
Design, develop, and deploy scalable solutions using Oracle PL/SQL, Python, Unix Shell scripting, and Java including AI and Generative AI technologies aligned to business needs.
Own high level solution design and implement robust data processing engines working with large datasets to improve process quality and performance.
Continuously evaluate and implement new technologies and frameworks to maximize efficiency and maintain configuration, monitoring, and performance tuning of database operations.
Minimum 2 years experience in Oracle PL/SQL, advanced SQL programming, Python, and Java.
Experience implementing AI solutions in enterprise environments and proven track record in solution design.
Engineering degree in Computer Science, Information Technology or related field.
Knowledge of Agile methodology, CI/CD software delivery, GitHub version control, and experience using Atlassian tools (JIRA, Confluence).
Experienced full-stack developer with strong expertise in database programming (Oracle PL/SQL) and backend languages (Python, Java) integrated with AI/GenAI technologies.
Demonstrated ability to work autonomously and take ownership of complex solution designs and implementations in enterprise Agile environments.
Comfortable working with large data sets, cloud environments (especially Azure and Kubernetes AKS), and modern software engineering practices including CI/CD and containerization.