(Fluent English) Junior Delivery Engineer (Python, data extraction)

As a Junior Delivery Engineer, you will be responsible for developing web scraping scripts for e-commerce data extraction using Python, ensuring the highest quality of data output. You will identify and resolve data issues, troubleshoot client-reported problems, and provide ongoing support. Regular collaboration with team members will be essential, along with implementing testing procedures for Python-based web scraping scripts.

To qualify for the Junior Delivery Engineer position, you should possess fluent written and spoken English and have 1-2 years of commercial experience with Python coding. Additionally, familiarity with HTML, CSS, JavaScript, and relational databases is highly beneficial. Hands-on experience with Linux and GitHub will also set you apart as an ideal candidate.

You will be part of a progressive team of over 60 professionals, including developers, analysts, and product managers. With an international scope, our team's diversity ensures a rich environment for collaboration and learning. You will also have the guidance of a seasoned mentor, encouraging your professional growth.

Our company offers a host of exciting benefits for the Junior Delivery Engineer position. This includes competitive compensation in USD, a fully remote work environment, and an opportunity to work on innovative Big Web Data solutions. You'll also enjoy the flexibility of working a Sunday to Thursday schedule with a dynamic and progressive product company.

While prior experience in e-commerce is a plus, it is not strictly required for the role of Junior Delivery Engineer. What matters most is your eagerness to learn and grow in data extraction techniques and web scraping using Python. Any familiarity you have with data collection or working on similar projects will be an added advantage.

When answering this question, focus on specific projects you've worked on that utilized Python for web scraping. Highlight any libraries or frameworks you used, like BeautifulSoup or Scrapy, and share challenges you faced and how you overcame them. This showcases your hands-on experience and problem-solving skills.

Discuss the debugging tools and techniques you are familiar with. Talk about using print statements, logging, or debuggers in IDEs. If you’ve worked with client-reported bugs, mention how you approached identifying and fixing these issues, showcasing your attention to detail.

Your answer should outline a clear step-by-step process you follow, starting from identifying the target data, analyzing HTML structure, writing scripts to fetch the data, and then cleaning/updating the data for usability. Make sure to highlight your methodical approach to ensure a high-quality output.

Talk about your proactive approach, such as implementing robust error handling in your scripts, monitoring data extraction processes for discrepancies, and continuously testing your scripts. Demonstrating adaptability is crucial in this field.

Discuss specific challenges, such as handling CAPTCHAs or dealing with inconsistent data formats. Make sure to illustrate how you approached and resolved these challenges, emphasizing your problem-solving abilities.

Discuss the importance of validating and cleaning data after extraction. Highlight methods such as duplicate detection, consistency checks, and ensuring that the data fits the required format and type. Mention any tooling or scripts you use to maintain data quality.

Share a specific project where your contribution was crucial, detailing your role, the project's objectives, the technologies used, and the outcomes. Highlight the impact your work had on the business or the insights gained from the data.

Mention any tools or libraries you prefer, such as BeautifulSoup, Scrapy, or Selenium, and explain why you like them based on your experiences. Discuss their strengths, such as ease of use, community support, or specific features that align with your projects.

Sharing your methods for staying informed—like following relevant blogs, participating in forums, or attending webinars—demonstrates your commitment to continuous learning. Mention any specific sources, communities, or thought leaders you follow in the field.

Discuss the importance of adhering to a website's terms of service and considering user privacy and data protection laws. Emphasize that ethical scraping not only respects the owner's rights but also contributes to a more sustainable and trust-based web environment.