WHAT DOES A PYTHON DEVELOPER DO?

Updated: Dec 18, 2025 - The Python Developer designs and maintains automated processes, campaign scripts, and production workflows using DataLab’s standard framework. This role involves developing and executing ETL feeds, setting up data warehousing metadata, writing quality control reports, and troubleshooting production issues. The developer also ensures documentation through code notes, process flows, and run notes while contributing to ongoing process improvements and aligning technical outputs with business objectives.

A Review of Professional Skills and Functions for Python Developer

1. Python Developer Accountabilities

  • Framework Development: Use popular frameworks such as Django, Flask, Bottle, etc.
  • API Integration: Design and development experience using RESTFUL APIs for the purpose of integration.
  • Requirement Analysis: Coordinate with the team to understand user requirements and offer technical solutions.
  • Program Modification: Identify areas of modification in existing programs and subsequently develop these modifications.
  • Strategic Decision-Making: Work independently to evaluate and make strategic decisions that will address specific technology design needs and issues within their technology area.
  • Analytic Troubleshooting: Utilize and apply robust analytic thinking with the ability to identify, debug, and resolve technical issues.
  • Backend Development: Develop back-end components to improve overall responsiveness and performance.
  • Security Implementation: Implement security and data protection solutions.
  • Software Documentation: Document Software Requirements and Software Design.
  • SDLC Execution: Plan and execute full software development life cycles (SDLC) for projects.

2. Python Developer Tasks

  • Project Handling: Work on a project with a large workload of up to 400MM in 2021.
  • Application Development: Build high-performing, scalable, enterprise-grade applications.
  • Low-Latency Design: Design and develop high-volume, low-latency applications.
  • SDLC Participation: Participate in the entire software development life cycle (writing design, coding, unit testing), debugging applications and configuring existing systems.
  • Requirement Analysis: Analyze system requirements and prioritize tasks, especially in terms of image processing.
  • Code Optimization: Review and refactor code.
  • Team Support: Provide support for junior developers.
  • Client Communication: Communicate directly with on-site and customers.

3. Python Developer Duties and Roles

  • Backend Architecture: Be in charge of architecting efficient and reusable back-end systems that drive complex, graphics-intensive frontend scientific web applications.
  • Cross-Team Collaboration: Collaborate with product architecture and engineering teams to deliver compelling user-facing products.
  • Technical Design: Develop detailed technical analysis and design specifications based on functional requirements.
  • Frontend Coordination: Collaborate with front-end developers to improve the usability of scientific applications.
  • Performance Optimization: Identify and resolve performance and scalability issues.
  • Full-Stack Development: Develop complete back-end stacks using modern frameworks.

4. Python Developer Roles and Responsibilities

  • Microservice Development: Design, develop and deliver microservices to meet internal or client requirements.
  • Application Support: Support current microservice applications, scripts and internal products.
  • DevOps Pipeline: Build and maintain DevOps pipelines for solutions.
  • Security Collaboration: Collaborate with InfoSec on solution designs and implementation.
  • Platform Maintenance: Co-maintain the Data Platform with Platform Engineering (Kubernetes, Kafka, Elastic Stack).
  • Data Science: Data Science efforts using data from telemetry, polled data and metrics retrieved from the Production estate to deliver operational dashboards and reports.
  • Product Documentation: Provide necessary documentation and training to the target audience of products delivered.

5. Python Developer Accountabilities

  • Python Scripting: Create Python scripts and services.
  • Code Documentation: Take charge of the documentation inside the code and designs.
  • Code Quality: Responsible for Python code quality check, code automation and code reviews.
  • Quality Assurance: Ensure the deliverables are of the highest quality in terms of functional and technical aspects.
  • Defect Management: Ensure that the in-sprint defects are closed with the highest quality and any production defects are being taken care of for a specific duration post-release.
  • Team Coordination: Work along with the PM, Architect and the BA to manage the team and the deliverables from technical and functional aspects.
  • Cross-Team Collaboration: Work along with DevOps and other teams to fulfil roles and see the big picture.

6. Python Developer Details

  • Python Development: Contribute clean, performant Python (Django) code to the core platform.
  • Cross-Functional Collaboration: Collaborate closely with product stakeholders, designers, and fellow engineers to deliver features that support business objectives.
  • Code Optimization: Refactor and optimize existing code in line with existing and emergent best practices.
  • Test & Documentation: Proactively write tests and documentation to ensure the health and maintainability of shipped code.
  • Peer Review: Provide constructive feedback on colleagues’ pull requests, and accept constructive feedback on own PRs in return.
  • Agile Participation: Participate actively and thoughtfully in the full Agile development lifecycle, from planning to testing to release.

7. Python Developer Responsibilities

  • Web Optimization: Solve technical challenges related to optimization and security of web applications (working with algorithms).
  • Backend Development: Design and develop advanced backend solutions using mostly Python, Django, PostgreSQL, and WS.
  • Quality Assurance: Keep the highest quality standards.
  • Team Collaboration: Work as a member of a strong, experienced project team (frontend, backend, testers).
  • Technical Communication: Communicate and discuss technical issues with other project members (experienced more or less).
  • Community Participation: Participate in weekly meetings of Python Developers’ Gildia, discuss solutions to real problems that developers meet in the project.

8. Python Developer Details and Accountabilities

  • Product Development: Build amazing products for diverse clients in a wide range of industries.
  • Best Practices: Leverage industry best practices.
  • Value Creation: Build amazing products that add significant business value for clients.
  • Code Review: Review peer code and architecture to ensure the products built exceed client expectations.
  • Technical Leadership: Provide technical leadership within the project and development teams.

9. Python Developer Roles and Details

  • Process Automation: Develop automated processes and scripts.
  • Asset Onboarding: Responsible for new asset onboarding.
  • Campaign Execution: Execute and maintain campaign processing scripts using DataLab’s standard Campaign Framework.
  • Data Understanding: Understand the data within the DL environment and the client data needed to execute campaigns.
  • Solution Research: Accountable for ad hoc solution research.
  • Code Documentation: Responsible for including code notes, process flows, run notes, etc.
  • Process Improvement: Responsible for ongoing process improvements.
  • Quality Control: Be in charge of quality control reporting and code.
  • Database Development: Develop production scripts, tables, stored procedures, views and functions.
  • QC Development: Develop quality control for production/campaign tasks.
  • Automated Reporting: Develop automated reporting.
  • Metadata Setup: Set up data warehousing metadata.
  • ETL Setup: Set up new ETL feeds and QC.
  • Data Utilization: Build initial data utilization routines.
  • Campaign Preparation: Execute and maintain campaign universe preparation and suppression update, campaign selection, and campaign creative assignment scripts.
  • Technical Awareness: Understand the technical environment and data available within DataLab.
  • Business Understanding: Understand the account‘s business objectives, terminology and business requirements.
  • Data Hygiene: Understand DataLab’s hygiene and matching process for data.
  • Data Auditing: Accountable for ad hoc code review, DB data audit, log audit, process replication, report generation, and data extracts.
  • Process Documentation: Create process overviews, process flows, run notes and code notes.
  • Process Enhancement: Proactively identify owned production processes that need enhancement.
  • Process Troubleshooting: Troubleshoot production processes.

10. Python Developer Job Description

  • Python Development: Write effective and scalable Python code.
  • Application Design: Design and implement robust applications.
  • Application Debugging: Debug applications to ensure low-latency and high-availability.
  • System Integration: Integrate user-facing elements with server-side logic.
  • Security Implementation: Implement security and data protection.
  • Data Storage: Responsible for accommodating various data storage solutions.