Job Description:
- Database Development: Design and write efficient PL/SQL code, including stored procedures, packages, functions, views, and database triggers.
- Performance Tuning: Analyze complex queries, build strategic indexes, use optimizer hints, and utilize tools like AWR (Automatic Workload Repository), Explain Plan, and Profiler to eliminate database bottlenecks.
- Data Architecture & Modeling: Manage and design database schemas, tablespaces, entity-relationship diagrams (ERDs), and overall data structures to maintain data integrity.
- ETL and Data Migration: Build automated batch jobs using data transformation routines to extract, transform, and load (ETL) data from external flat files or legacy systems into target databases.
- Collaboration: Work alongside data analysts, software engineering teams, and business stakeholders in an Agile environment to map business requirements into technical SQL logic.
Requirements
Qualifications:
- Core Languages: Mastery of advanced SQL (joins, subqueries, window functions) and expert-level PL/SQL programming.
- Database Management Systems: Strong knowledge of Oracle Database Architecture. Familiarity with alternate relational databases (e.g., Microsoft SQL Server, PostgreSQL, MySQL) is often a plus.
- Development Tools: Proficiency using Integrated Development Environments (IDEs) like Oracle SQL Developer, TOAD, or ERwin for data modeling.
- Automation & Build Tools: Experience with Unix/Linux shell scripting, scheduler tools (like Autosys), and ETL frameworks (like Informatica).
- Methodologies: Practical understanding of Agile delivery frameworks, automated testing for database code, and CI/CD pipelines.