Manager's Note: Oracle 12c or above, they are on 19c, Unix, autosys or a job scheduling tool, big data warehousing, heavy PL SQL programming (packages, procedures, functions) because they do not have a set ETL environment. Everything is home grown. Last thing is jira/agile where they need to be able to write user stories or at least understand them
Overview: We are seeking a highly skilled PL/SQL developer to join our team. The ideal candidate will have experience with outdated ETL processes and be capable of preparing data to facilitate reporting. This is a technical position focused on ensuring efficient data processing and automation.
Key Responsibilities: - Oracle Exadata: Utilize experience with versions 12c or above to manage and optimize databases. (Currently in 19c)
- PL/SQL: Handle outdated ETL processes with a strong emphasis on packages, procedures, functions, triggers, and indexing. Provide troubleshooting support as the team transitions to other ETL tools.
- Dynamic SQL: Develop and maintain dynamic SQL queries.
- Parallel Processing: Design and automate processes using Autosys. Experience with scheduling software such as Control M, Autosys, and IBM tools is required.
- SQL Explain Plan: Analyze and optimize SQL queries using Explain Plan.
- Data Preparation: Prepare data to simplify reporting processes, ensuring minimal need for complex data processing.
- Requirements Gathering: Collaborate with small business lending teams, especially in digital analytics (AB Initio), to gather and understand requirements.
- Transformation Projects: Support the transformation of small business processes using tools like nCino, ensuring data integration into the analytics space.
- Dashboard Integration: Feed data into dashboards for real-time analysis and reporting.
- Regulatory Reporting: Manage regulatory reporting processes, ensuring all reports are accurately generated and submitted.
- Automation Recreation: Recreate and optimize processes for automation.
- Performance Tuning: Apply fundamental knowledge of performance tuning to ensure efficient data processing and system operations.
Preferred Experience: - Previous experience with banks or similar financial institutions is highly desirable.
- Strong understanding of how data works behind the scenes, with the ability to troubleshoot and optimize performance.
Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience in data engineering, with a focus on Oracle Exadata and PL/SQL.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent problem-solving skills and attention to detail.