What to consider when hiring a Python Developer?
Definition of Python
Why is Python one of the greatest programming languages out there?
Versatility.
You nearly have an endless way to shape the results like building websites and diverse software, automate tasks, and conduct data analysis.
Python is known as an interpreted, object-oriented, high-level programming language. People use it for Rapid Application Development based on the great amount of modules and packages that lead to increased productivity.
More about Python on python.org
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Types of Python Developers
Reading through this chapter will help you to identify the most important skills when creating a Python Developer job description going forward or to scan through CVs of possible candidates.
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Python Back End Development
Backend Python Developers are responsible for developing and maintaining the components on the server-side of web apps to support the Frontend to function optimally. They are working with several frameworks, databases, and APIs, though these tools and technologies may vary greatly depending on the project requirements.
Look for:
- Web development purposes: frameworks like Flask, Django, or Pyramid
- A skillset with relational databases SQL or an ORM like SQLAlchemy
- On-relational databases like MongoDB, Cassandra, or Redis
- RESTful APIs
💡What’s ORM?
Object-Relational Mapping (ORM) refers to a method of retrieving and modifying data from a database using an object-oriented approach. Typically, when discussing ORM, people are referring to a specific library that implements this technique, which is commonly referred to as “an ORM”. |
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Python Data Engineer
A Python Data Engineer builds, maintains, and optimizes data streams and infrastructure. Core tasks are to extract, transform data from several sources into storages, like data warehouses or data lakes. Data quality and consistency plays an important role, additionally to shaping the right workflows to process data. In collaboration with data analysts and data scientists they aim to develop solutions that enable effective data analysis and reporting.
Look for:
- NumPy, Pandas as data manipulation libraries
- Knowledge and experience in working with databases like MySQL, Oracle and PostgreSQL
- A deeper understanding of Data Warehouses using technologies like Apache Hadoop or Apache Spark
- Apache NiFi, Talend, and Apache Kafka and experience in designing and implementing ETL (Extract, Transform, and Load) pipelines
- Understanding of cloud infrastructure like AWS, Azure, or Google Cloud including Services like S3, EC2, and EMR
Python AI Engineer
A Python AI Engineer is responsible for developing and implementing artificial intelligence (AI) and machine learning (ML) solutions. They deploy AI models in popular libraries and the tasks include optimizing algorithms to solve complex business problems and training and testing models to ensure accuracy and reliability. Teaming up with data engineers and data scientists they ensure the quality of data for AI models.
Look for:
- language and libraries such as NumPy, Pandas, TensorFlow, Keras, and PyTorch.
- machine learning algorithms and deep learning frameworks and data preprocessing
- statistical analysis and techniques for data analysis, such as regression analysis, hypothesis testing
- Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and their machine learning services.
- SQL and NoSQL databases, and data warehousing concepts.
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Python Quality Assurance Engineer
Python Quality Assurance Engineers make sure that the quality and reliability of software applications developed is in the expected range. While they are supporting other Developers to identify and fix bugs and defects in the code, they as well design and execute test plans to validate the functionality and performance of the product shipped. Doing this they rely on various automation and testing tools and frameworks.
Look for:
What to consider when you hire a Python Developer
Focus on Communication
Python Developers should have excellent communication skills, as they will need to collaborate with other Developers, Project Managers, and other stakeholders to ensure that the testing process is effective and efficient.
Academic Credentials over everything?
A degree in computer science can be a sign, but it is not always an accurate indicator of a developer’s skills or ability to work on a team and deliver. Some of our best developers are career changers with several years of experience on complex projects.
Soft Skills, anyone?
Next to the discussed communication skills we see a strong benefit in candidates that offer adaptability in an ever changing environment, good problem solving skills, creativity and a good amount of emotional intelligence, to make the most out of social interactions with the team.
Looking for further info’s? Here you go!
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Salary of a Python Developer
According to indeed, the estimated average salary for a Python Developer in the United States is $114,600 per year. But like you see down below, it ranges quite a bit.
Because this is closely related to the different skill levels. So make sure you know which skill level is essential for your project in order to hire dedicated Java developers.
More on the topic of the different skill levels of developers can be found here.
Python Developer resume
See what a typical tech talent from the codecombinator ecosystem looks like:
Summary
So what does it take to hire a Python Developer?
First get clear on the type you look for, if this type is really needed for the goals that you are having and secondly look at what the connected hard and soft skills are in this case. Python Developers, once experienced in the language will find it rather easy to transform into other frameworks as the versatility described will help to leverage other packages provided by the huge community. In the end be sure that you match the budget needed for the experience you expect.
Team codecombinator
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