Python Engineer - Data Applications

Job Description

The Python Engineer - Data Applications will lead the development of data applications focused on data engineering, data analysis and visualization. The ideal candidate will be responsible for designing, developing, and maintaining Python-based applications and systems that are scalable, efficient, and reliable. They should have a strong understanding of Python frameworks, RESTful APIs, and data handling, with a passion for writing clean, maintainable code.

Responsibilities

• Architect and develop Python-based data applications for data analysis and machine learning leveraging libraries
• Design and implement efficient algorithms and data structures for handling large volumes of data
• Collaborate with data scientists, data architect, Software developer and other stakeholders to understand requirements and translate them into technical solutions
• Build and integrate RESTful APIs with front-end and third-party services
• Integrate data from various sources, including geospatial databases, APIs, and file formats such as CSV, Shapefiles, and more
• Write clean, maintainable, and well-documented code, following best practices and coding standards
• Conduct code reviews and provide constructive feedback to team members
• Stay up-to-date with advancements in data analysis techniques and technologies, and propose innovative solutions to enhance the application
• Troubleshoot and debug existing applications to improve performance and usability
• Develop and maintain CI/CD pipelines and automated testing frameworks
• Document code, systems, and development processes
  
  

Qualifications

• Bachelor’s degree in Computer Science or equivalent degree with experience
• 6-8 years of experience working as a Python Engineer with a focus on data engineering and data analysis
• Proficiency in Python programming and familiarity with libraries such as NumPy, GeoPandas, and ArcGIS
• Knowledge of web development frameworks for building RESTful APIs (e.g., FastAPI)
• Experience with version control systems, preferably Git
• Excellent problem-solving and analytical skills, with the ability to tackle complex spatial data challenges
• Effective communication skills and the ability to collaborate with multidisciplinary teams.
• Familiarity with Machine Learning platforms (e.g., AWS SageMaker) and containerization technology
• Experience with relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB, Redis)
• Knowledge of software engineering principles, design patterns, and best practices
  
  

Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.

Ventas, Inc. is an Equal Opportunity Employer.

Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.