Python Developer

software engineers

What You’ll Do

• Perform general application development activities, including unit testing, code deployment to development environment and technical documentation.
• Work on one or more projects, making contributions to unfamiliar code written by team members.
• Diagnose and resolve performance issues.
• Participate in the estimation process, use case specifications, reviews of test plans and test cases, requirements, and project planning.
• Document code/processes so that any other developer is able to dive in with minimal effort.
• Develop, and operate high scale applications from the backend to UI layer, focusing on operational excellence, security and scalability.
• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
• Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.
• Participate in a tight-knit engineering team employing agile software development practices.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
• Write, debug, and troubleshoot code in mainstream open source technologies
• Lead effort for Sprint deliverables, and solve problems with medium complexity
• Research, create, and develop software applications to extend and improve on Equifax Solutions
• Collaborate on scalability issues involving access to data and information.
• Actively participate in Sprint planning, Sprint Retrospectives, and other team activity
  

What Experience You Need

• Bachelor's degree or equivalent experience
• 5+ years working experience software development using multiple versions of Python.
• Experience and familarity with the various Python frameworks currently in use to leverage software development processes.
• Develop, test, and deploy high-quality Python code for AI/ML applications, data pipelines, and backend services.
• Design, implement, and optimizem Machine Learning models and algorithms for various business problems.
• Collaborate with data scientists to transition experimental models into production-ready systems.
• Build and maintain robust data ingestion and processing pipelines to feed data into ML models.
• Perform code reviews, provide constructive feedback, and ensure adherence to best coding practices.
• Troubleshoot, debug, and optimize existing ML systems and applications for performance and scalability.
• Stay up-to-date with the latest advancements in Python, machine learning, and related technologies.
• Document technical designs, processes, and operational procedures.
• Experience with Cloud technology: GCP or AWS
  

What could set you apart

• Self-starter that identifies/responds to priority shifts with minimal supervision.
• Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others.
• Source code control management systems (e.g. Git, Github).
• Agile environments (e.g. Scrum, XP).
• Atlassian tooling (e.g. JIRA, Confluence, and Github)
• Developing with modern Python versions