Data Scraping Specialist
Nairobi, Nairobi County, Kenya · Tempo pieno
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- Esperienza
- Qualsiasi
- Stipendio
- —
- Aperture
- 1
- Pubblicato
- 3 ore fa
- Work mode
- In ufficio
- Eligibility
- Professionals with relevant experience in data scraping and automation, strong English communication skills, and the technical ability to work independently on data acquisition challenges may apply.
- Resume
- Required to apply
Where you'll work
Descrizione del lavoro
Role overview
We are hiring a Data Scraping Specialist to gather, structure, and standardize information from public and government sources so it can be used in dependable, analysis-ready formats.
Work schedule
This position follows a Monday to Friday schedule, from 12:00 PM to 8:00 PM CST.
Key responsibilities
- Find and evaluate public and government data sources that are relevant to the assignment.
- Pull data from websites, APIs, feeds, FTP locations, and online repositories, then transform it into consistent formats.
- Develop reusable, scalable, and maintainable ETL workflows rather than single-use scripts.
- Use Python and web scraping methods such as HTTP requests and HTML parsing to collect data efficiently.
- Check data for inconsistencies, verify sample outputs, and record the approach used for extraction and processing.
- Work with version control tools in Git, follow solid development practices, and keep stakeholders informed clearly.
Skills and requirements
- Proven background in web scraping, data scraping, and extracting both structured and unstructured data.
- Strong programming ability in Python or a comparable language.
- Working knowledge of APIs, HTTP, FTP, HTML parsing, and relational databases such as PostgreSQL.
- Advanced English skills with the ability to communicate clearly in writing and in technical discussions.
- Good problem-solving ability to handle complex data acquisition tasks and improve solutions independently.
- Strong attention to data quality, normalization, validation, and documentation.
Additional information
The employer uses AI-assisted tools at certain stages of the hiring process, such as application review, résumé screening, response analysis, and spotting possible inconsistencies or verification signals in submitted materials. These tools support the recruitment team and do not replace human judgment. Final hiring decisions are made by people. If you need more details about how your data is handled, you may contact the employer.
How to apply
Applicants who match the profile and want to advance their automation skills are encouraged to submit their application.