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$
80,000
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66
%
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33
%
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Experienced Professionals Are Ready To Get Started On Your Next Cloud Initiative
The Andela Standard: Network Entrance Assessments
Python Engineers play a key role in designing, developing, and maintaining scalable back-end applications using Python. Collaborating across teams, they ensure the effective integration of back-end components, optimize application performance, and address complex challenges in back-end development. Successful candidates exhibit proficiency in Python, demonstrate a deep understanding of back-end architecture, and showcase problem-solving skills in dynamic software environments.
1. Qualifications
Qualification criteria:
- A minimum of 4 years of professional experience in a Python Backend Engineer role (excluding intern and volunteer experience).
- A bachelor's degree in a technology-related field or equivalent work experience.
- Excellent spoken and written English communication skills.
- Proficient in Python with a solid understanding of backend development principles.
- Hands-on experience with backend technologies, including database management systems, server-side frameworks, and familiarity with API development.
- Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of backend engineering.
- A commitment to continuous learning and adapting to evolving technologies in the Python backend development domain.
- A collaborative and team-oriented approach to backend engineering projects.
2. Skill Validation
This qualification assessment tests the candidate's knowledge of Python Back-end development fundamentals. It's composed of Q&A and code challenges that evaluate the candidate's theoretical knowledge and hands-on skills. A candidate is approved in this test if all challenge level cut-off scores at met.
Python Fundamentals
This challenge tests candidate familiarity with Python and should be suitable for mid-to-senior candidates. Most questions are derived from the Python docs and some inspired by frequent Python interview questions.
Python Code Challenge
The first challenge of this assessment involves writing a configuration file parser. Candidates will write a clean solution to do a configuration-parsing task using a built-in library.
The second challenge objective is to determine which website is the most popular in a directory of HTML files using the PageRank algorithm. This challenge exercises candidate comfort with reading documentation and using a few important Python libraries and modules they may not be familiar with.
3. Technical Interview
This assessment is designed to test your practical knowledge of backend development using Python. Candidates who pass this challenge can work with Python to implement backend web applications.
During the assessment, candidates will tackle a hands-on problem tailored to real-world scenario in Python development. Their solution will be first verified by a battery of automated test cases to ensure it meets the functional requirements as well as industry standards. Then, our experienced interviewer' will step in to assess the overall efficiency of the candidate's solution.
Assessment Outline:
- Python Coding Challenge (Option 1):
- This is an intermediate-to-advanced-level problem that asks a candidate to write a few small functions to manipulate a zip file programmatically. This challenge tests the candidate's ability to manipulate zip files programmatically, or to quickly ramp up and research how to achieve the desired result. There shouldn't be too much code to write, but research skills are tested.
- Python Coding Challenge (Option 2):
- This is an intermediate-to-advanced-level problem that evaluates the candidate's competency to Write a configuration file parser. This challenge tests the candidate's ability to write a clean solution to a configuration-parsing task using a built-in library.
Asive D.
Data Scientist
Experience:
10+ years
Availability:
Full-time
Senior Data Scientist with 10 years of experience in data analytics, data engineering, machine learning, and deep learning. Highly adept in
using analytics to drive insights to help organizations make informed decisions. Experienced in developing high-performance models that
increase efficiency and accuracy of results.
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Expert in
Saket D.
Data Scientist
Experience:
8+ years
Availability:
Full-time
Saket is a highly analytical and process-oriented Lead Data Scientist with 8+ years of experience in the field. Saket has a proven track record of designing and implementing innovative solutions across various sectors, utilizing advanced Machine Learning techniques and data engineering tools such as Airbyte, Metabase, Facebook Prophet (fbprophet), Docker, and Apache Airflow, among others.
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Expert in
Matias A.
Data Scientist
Experience:
10+ years
Availability:
Full-time
Matias is a Data Science Engineer with 10+ years of professional experience delivering creative solutions for social impact projects. Matias's experience includes working at IBM research as a Machine Learning engineer, collaborating with IBM's Yorktown Heights research lab, co-founding a startup that develops research-backed cognitive games for the elderly, and working on several projects that use Machine Learning to innovate in the healthcare sector.
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Expert in
Anurag P.
Data Scientist
Experience:
10+ years
Availability:
Full-time
Anurag is an inquisitive Data Scientist with 8+ years of professional experience uncovering complex problems and implementing innovative solutions through advanced analytics and Machine Learning. He is proficient in Python, R, BigQuery, SQL, Looker, Keras, TensorFlow, and Tableau. Anurag possesses a deep understanding of time series forecasting, random forest, Lasso regression, and XGBoost.
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Expert in
Emmanuel D.
Full-Stack Engineer
Experience:
6 years
Availability:
Full-time
Emmanuel is a seasoned Full-Stack Engineer, boasting over 6 years of experience crafting user-friendly web applications and essential business API services. His expertise spans a wide array of technologies, including JavaScript, Node.js, HTML/CSS, React Native, Vue.js, React, PHP, PostgreSQL, and more.
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MySQL
JavaScript
Node.js
React.js
TypeScript
Git
Heroku
HTML
Redis
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Python
Back-End
Python
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React
Data
R
Data
R
Data
R
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R
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iOS
Mobile
iOS
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Go
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Go
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Go
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Go
Data
Excel
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Excel
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CSS
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CSS
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CSS
Data
SQL
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SQL
Data
SQL
Data
SQL
Data
Apache
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Apache
Data
Apache
Data
Apache
Back-End
C#
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C#
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C#
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C#
Front-End
Typescript
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Typescript
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Typescript
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Typescript
Data
PyTorch
Data
PyTorch
Data
PyTorch
Data
PyTorch
Front-End
HTML
Front-End
HTML
Front-End
HTML
Front-End
HTML
Back-End
Ruby
Back-End
Ruby
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Ruby
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Ruby
Back-End
PHP
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PHP
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PHP
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PHP
Work the way that
works for you
Andela’s Adaptive Hiring approach offers a flexible engagement model that lets you create and manage teams in any configuration.
Hire Individuals
Fill a critical gap or place a highly skilled problem solver. Have someone cover maternity leave. Or put a full-time, project-driven technologist in place.
Create Managed Projects
We ensure on time, on budget delivery for the most demanding projects, like custom application development and AI rapid prototyping.
Frequently Asked Questions
Where can I hire Python Engineers?
Andela is a premier global talent marketplace that connects companies with highly skilled Python Engineers from around the world. With a rigorous certification process and focus on quality talent, Andela provides access to a diverse pool of experienced Python Engineers ready to join your team.
How are Andela Python Engineers different?
Andela Python Engineers stand out for their exceptional technical skills, work ethic, and cultural fit. Through an AI-driven platform, rigorous certification process, and professional matchers, Andela ensures companies are connected to highly skilled professionals who are not only proficient in back-end technology but also possess strong problem-solving abilities, excellent communication skills, and a passion for continuous learning. Andela’s developers are also trained in remote collaboration and agile methodologies, enabling seamless integration into your team.
How long does it take to hire Python Engineers through Andela?
Andela’s streamlined hiring process ensures you can access top Python Engineers quickly. Once you submit your hiring request, Andela typically provides you with a curated list of pre-qualified candidates within seconds and you can hire within 48 hours – after conducting interviews and making a decision. With Andela’s global talent pool, you can scale your back-end team rapidly, without compromising on quality.
What are the minimum requirements of all Andela Python Engineers?
A minimum of 4 years of professional experience in a Python Backend Engineer role (excluding intern and volunteer experience).A bachelor's degree in a technology-related field or equivalent work experience.Excellent spoken and written English communication skills.Proficient in Python with a solid understanding of backend development principles.Hands-on experience with backend technologies, including database management systems, server-side frameworks, and familiarity with API development.Strong problem-solving skills, attention to detail, and a results-oriented mindset in the realm of backend engineering.A commitment to continuous learning and adapting to evolving technologies in the Python backend development domain.A collaborative and team-oriented approach to backend engineering projects.
What are the typical responsibilities of a Python Engineer?
Design, develop, and maintain scalable and efficient back-end applications using Python.Collaborate with cross-functional teams to ensure the seamless integration of back-end components into the overall application architecture.Optimize back-end performance, ensuring reliable and efficient data processing.Troubleshoot and debug back-end issues, identifying and implementing effective solutions for seamless application functionality.Participate actively in code reviews to uphold coding standards, improve code quality, and advocate for best practices in Python back-end development.Stay abreast of the latest trends, updates, and best practices in Python and back-end development.Provide mentorship and guidance to junior developers, sharing insights and expertise in back-end engineering.
What skills should a Python Engineer possess?
Python play a key role in designing, developing, and maintaining scalable back-end applications using Python. Collaborating across teams, they ensure the effective integration of back-end components, optimize application performance, and address complex challenges in back-end development.
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