Saint Petersburg, FL, 33747, USA
33 days ago
Lead Data Engineer, Oracle Development
**_This position will follow our hybrid work model, we expect the selected candidate to be in the office 8-10 days per month at the St. Petersburg, FL Corporate Office location._** **Responsibilities** + **Project Leadership:** Manage full development lifecycle—from requirements gathering to deployment—ensuring timely delivery and high-quality outcomes. + **Oracle Development:** Design and optimize complex SQL queries, stored procedures, and database schemas for performance and scalability. + **Database Optimization:** Analyze system performance and implement strategies for efficient data storage and retrieval. + **Data Engineering:** Use Pandas and Spark for data transformation, analysis, and manipulation. + **Python Development:** Build and maintain robust Python applications and automation scripts. + **CI/CD Automation:** Develop and manage CI/CD pipelines using Jenkins and other tools to streamline build, test, and deployment processes. + **Team Mentorship:** Lead and mentor junior developers, fostering a collaborative and innovative engineering culture. + **Documentation:** Produce and maintain detailed technical documentation for all development efforts. **Skills** **:** + **Experience:** 10+ years in software development, with a strong focus on Python and Oracle databases. + **Technical Proficiency:** Expertise in SQL, Oracle, Python/Spark, Jenkins, Kubernetes, Pandas, and CI/CD practices. + **Optimization Skills:** Solid understanding of database performance tuning and best practices. + **Leadership:** Demonstrated success in leading development teams and managing complex projects. + **Analytical Thinking:** Strong problem-solving skills with a data-driven approach. + **Communication:** Excellent verbal and written communication abilities. + **Education:** Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). **Preferred Qualifications** + **Certifications:** Credentials in Oracle, Python, Kubernetes, or CI/CD tools. + **Agile Experience:** Familiarity with Agile/Scrum methodologies. + **Cloud Knowledge:** Experience with cloud platforms such as AWS, Azure, or Google Cloud.
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