Collabera
Python Developer
Collabera, Jersey City, New Jersey, us, 07305
Key Responsibilities:
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
Develop, test, and maintain scalable Python applications.Design and implement efficient data analytics solutions to extract insights from large datasets.Collaborate with cross-functional teams to develop and enhance web applications using Django and Flask.Integrate third-party APIs and tools to extend functionality and improve system performance.Provide support and troubleshooting for Python-based systems.Optimize code for performance, scalability, and maintainability.Participate in code reviews, ensuring adherence to best practices and standards.Document processes, solutions, and code.Engage in system design, architecture, and technical discussions to deliver robust solutions.Work closely with business analysts and stakeholders to understand and implement business requirements.
Required Skills & Experience:
5 to 7 years of professional experience in Python development.Proven experience with Data Analytics and the ability to work with large datasets and perform data manipulation.Expertise in Django and Flask for building web applications.Strong understanding of RESTful APIs and microservices architecture.Familiarity with database systems (e.g., PostgreSQL, MySQL, MongoDB) and experience writing complex SQL queries.Solid experience with Git for version control and collaboration.Strong understanding of object-oriented programming (OOP) principles and design patterns.Experience with data visualization tools like Matplotlib, Seaborn, or other relevant libraries is a plus.Ability to work in an Agile environment and collaborate with cross-functional teams.
Nice to Have:
Experience in the banking or financial services sector.Exposure to cloud platforms like AWS, Azure, or GCP.Knowledge of containerization tools like Docker and orchestration with Kubernetes.Experience with Pandas, NumPy, and other Python libraries for data processing.Familiarity with DevOps principles and CI/CD pipelines.
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
Develop, test, and maintain scalable Python applications.Design and implement efficient data analytics solutions to extract insights from large datasets.Collaborate with cross-functional teams to develop and enhance web applications using Django and Flask.Integrate third-party APIs and tools to extend functionality and improve system performance.Provide support and troubleshooting for Python-based systems.Optimize code for performance, scalability, and maintainability.Participate in code reviews, ensuring adherence to best practices and standards.Document processes, solutions, and code.Engage in system design, architecture, and technical discussions to deliver robust solutions.Work closely with business analysts and stakeholders to understand and implement business requirements.
Required Skills & Experience:
5 to 7 years of professional experience in Python development.Proven experience with Data Analytics and the ability to work with large datasets and perform data manipulation.Expertise in Django and Flask for building web applications.Strong understanding of RESTful APIs and microservices architecture.Familiarity with database systems (e.g., PostgreSQL, MySQL, MongoDB) and experience writing complex SQL queries.Solid experience with Git for version control and collaboration.Strong understanding of object-oriented programming (OOP) principles and design patterns.Experience with data visualization tools like Matplotlib, Seaborn, or other relevant libraries is a plus.Ability to work in an Agile environment and collaborate with cross-functional teams.
Nice to Have:
Experience in the banking or financial services sector.Exposure to cloud platforms like AWS, Azure, or GCP.Knowledge of containerization tools like Docker and orchestration with Kubernetes.Experience with Pandas, NumPy, and other Python libraries for data processing.Familiarity with DevOps principles and CI/CD pipelines.