Senior SQL Developer

Experience Required:
This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming.

Skills:
1. Possess advanced knowledge of SQL, encompassing intricate query optimization techniques, nuanced data manipulation strategies, and a keen ability for fine-tuning database performance. Proficiency extends to crafting queries that operate efficiently even with large datasets, ensuring optimal processing times and minimal resource usage.
2. Demonstrate expertise in working with diverse and popular database management systems such as Oracle, MySQL, SQL Server, and Azure SQL. Proficiency includes database administration, schema design, and the seamless execution of operations across various platforms, showcasing adaptability and proficiency in different environments.
3. Exhibit a strong understanding and extensive experience in Oracle PL/SQL programming. This expertise encompasses the development and optimization of intricate stored procedures, triggers, and functions. Proficiency in PL/SQL ensures the seamless execution of complex tasks, enhancing database functionality and performance.
4. Showcase the ability to design efficient data models that facilitate optimal storage and retrieval of information. Proficiency in creating robust data structures ensures streamlined access to relevant data, enhancing overall database efficiency and reducing query complexity.
5. Demonstrate a comprehensive understanding of Extract, Transform, Load (ETL) processes and tools. Proficiency in integrating data from diverse sources into the database showcases the ability to harmonize disparate datasets, ensuring data consistency, accuracy, and reliability.
6. Exhibit a strong ability to optimize both database queries and underlying structures. Proficiency in query optimization techniques and structural refinements enhances database performance and responsiveness. Skills in identifying and rectifying bottlenecks contribute to streamlined operations.
7. Possess knowledge of data warehousing concepts and tools, enabling effective management of vast volumes of data. Expertise in data warehousing ensures efficient storage, retrieval, and analysis of large datasets, supporting the organization's data-driven decision-making processes.
8. Display proficiency with sophisticated reporting tools like Tableau, Power BI, Cognos, and Crystal Reports. Ability includes crafting insightful visualizations and reports that translate raw data into valuable, actionable insights.
9. Demonstrate proficiency in utilizing version control systems like Git to effectively manage and track changes in database scripts and queries. Expertise in version control ensures systematic tracking of modifications, enabling collaboration, maintaining code integrity, and facilitating seamless integration of changes into the database systems.