Python Developer

A Python Developer specialized in building the Data Access Layer (DAL) is responsible  for designing and maintaining the code layer that abstracts interaction with APIs,  databases, or external services. The DAL typically consists of multiple Data Access  Objects (DAO) — modular components that encapsulate the logic for retrieving,  transforming, and persisting data. 

By separating the DAL from business logic, the developer ensures that applications can  consume data in a consistent, reusable, and maintainable way, regardless of the  complexity of the underlying APIs or data sources. 

Core Competencies: 

• Data Access Layer Design: Structures the DAL so that it provides a clear  contract for higher-level services, while hiding the details of API calls,  authentication, and error handling. 

• Data Access Objects (DAO): Implements DAOs to encapsulate access to  specific resources, enabling standardized CRUD-style operations. • API Integration: Strong expertise in REST APIs, including handling  authentication, pagination, and rate limits. 

• Python Development: Skilled in Python, object-oriented programming, design  patterns, modularization, and error handling. 

• Testing & Quality: Ensures DAL and DAOs are well tested through unit and  integration tests. Promotes reliability and resilience in accessing external  systems. 

Typical Deliverables: 

• A modular Data Access Layer library, implemented in Python, with DAOs for key  resources. 

• Documentation and usage guidelines for other teams to consume the DAL. • Error handling and retry logic abstracted within the DAL so that client code  remains clean. 

• Unit and integration tests to validate DAL/DAO correctness and robustness. • Experience with cloud environments (AWS especially) 

Additional Skills (Nice-to-Have): 
• Asynchronous programming with asyncio or frameworks like FastAPI.

• Familiarity with SQL/NoSQL databases and ORM frameworks (SQLAlchemy,  Django ORM). 

• Knowledge of DevOps practices (CI/CD pipelines). 
 

Value to the Team: 

By owning the Data Access Layer, this Python Developer ensures that the organization  has a single, well-structured entry point for all data operations. This reduces  duplication, improves maintainability, and accelerates feature development, since  other developers and analysts can rely on a consistent and reliable abstraction instead  of reimplementing API or database logic.