Middle/Senior Full-Stack Python Engineer (Django)

We are looking for a Middle/Senior Full-Stack Engineer with strong Python/Django and SQL expertise to help develop and maintain a web application for migrating reporting functionality from Oracle APEX. The role combines backend and frontend development with database analysis, reporting, dashboard development, and performance optimization.

Our client is a leading Ukrainian bank undergoing significant digital transformation. The team is working on modernizing reporting solutions and migrating existing reporting functionality from Oracle APEX to a Python/Django-based web application. The team is developing the bank’s analytical system. The main focus is migrating reports and dashboards from the legacy Oracle APEX platform to a new Django-based project, building new visualization logic, and integrating with data from the bank’s systems.

Responsibilities:

• Analyze existing Oracle APEX reports, dashboards, SQL queries, and business logic.
• Develop and maintain backend functionality using Python and Django.
• Develop web interfaces using Django Templates, HTML, CSS, and JavaScript.
• Build interactive dashboards, tables, charts, and calculated metrics.
• Implement data filtering, search, sorting, grouping, and pagination.
• Develop report generation and export functionality in XLSX, CSV, and PDF formats.
• Migrate and implement user roles, authentication, authorization, and access control for reports and data.
• Analyze and optimize SQL queries and overall application performance.
• Connect Django applications to Oracle Database and work with Oracle SQL and PL/SQL.
• Validate migrated functionality and ensure data consistency between Oracle APEX and the Django application.
• Develop and integrate REST APIs, preferably using Django REST Framework.
• Document implemented functionality and support further development of the solution.
• Migrate reports and dashboards from the legacy Oracle APEX system to a Django-based application.
• Design and implement new data visualization logic.
• Integrate the analytical system with data from banking systems.
• Build and maintain ETL/ELT pipelines.
• Work with large data volumes and optimize performance (indexes, partitioning, query execution plans).
• Work with file storage (S3) and analytical file formats (Parquet, CSV, PDF).
• Support and extend analytical interfaces.

Requirements:

• Strong Python skills and hands-on experience developing web applications with Django.
• Commercial experience with Django backend and frontend development.
• Strong knowledge of Django ORM, including query optimization and resolving N+1 issues.
• Solid SQL skills and practical experience with Oracle Database, including indexes, JOINs, partitioning, EXPLAIN/query plan analysis, and optimization of heavy queries.
• Good understanding of PL/SQL.
• Experience analyzing Oracle APEX applications, reports, dashboards, SQL queries, and business logic.
• Experience integrating Django with Oracle Database, preferably using python-oracledb.
• Experience developing interactive dashboards, tables, charts, filters, and calculated metrics.
• Strong HTML5, CSS3, and JavaScript skills.
• Experience implementing search, sorting, filtering, grouping, and pagination.
• Experience with data visualization libraries such as Chart.js, Apache ECharts, or similar.
• Experience generating and exporting reports in XLSX, CSV, and PDF formats.
• Understanding of authentication, authorization, role-based access control, and data access restrictions.
• Experience developing and integrating REST APIs.
• Experience optimizing web application performance and SQL queries for large datasets.
• Experience with Git.
• Experience working with large data volumes and reporting.
• Experience building analytical systems or dashboards.
• Experience migrating legacy solutions to a modern stack.
• Experience with ETL/ELT pipelines.

Nice to Have:

• Experience with Django REST Framework.
• Experience with PostgreSQL.
• Experience with Oracle APEX migration or modernization projects.
• Experience working with enterprise reporting or business intelligence applications.
•  Experience with Kafka.
•  Experience with S3 and file storage for analytics, preferably Parquet.
•  Experience with banking or fintech data.
•  React for building tables and dashboards.