Python Engineer Data Applications

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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 yearsof 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
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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.
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Location:
Chicago, IL, United States
Category:
Computer And Mathematical Occupations

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