Senior Data Engineer
Tampa
USD150000 - USD180000
PR/568408_1763753975
Senior Data Engineer
Key Responsibilities
- Project Oversight: Direct end-to-end software development activities, from initial requirements through deployment, ensuring projects meet deadlines and quality standards.
- Database Engineering: Architect and refine SQL queries, stored procedures, and schema designs to maximize efficiency and scalability within Oracle environments.
- Performance Tuning: Evaluate system performance and apply strategies to enhance data storage and retrieval processes.
- Data Processing: Utilize tools like Pandas and Spark for data wrangling, transformation, and analysis.
- Python Solutions: Develop and maintain Python-based applications and automation workflows.
- Pipeline Automation: Implement and manage continuous integration and delivery pipelines using Jenkins and similar technologies to optimize build, test, and release cycles.
- Team Development: Guide and support junior engineers, promoting collaboration and technical growth.
- Technical Documentation: Create and maintain comprehensive documentation for all development initiatives.
Core Skills
- Experience: Over a decade in software engineering, with deep expertise in Python and Oracle database systems.
- Technical Knowledge: Strong command of SQL, Oracle, Python, Spark, Jenkins, Kubernetes, Pandas, and modern CI/CD practices.
- Optimization Expertise: Skilled in database tuning and applying best practices for performance.
- Leadership Ability: Proven track record in managing teams and delivering complex projects.
- Analytical Strength: Exceptional problem-solving capabilities with a data-centric mindset.
- Communication: Clear and effective written and verbal communication skills.
- Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Preferred Qualifications
- Certifications: Professional credentials in Oracle, Python, Kubernetes, or CI/CD technologies.
- Agile Background: Hands-on experience with Agile or Scrum frameworks.
- Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud services.
