
Data Acquisition Specialist Job Opening
5 hours ago
We are seeking a skilled and detail-oriented professional to join our data acquisition team. In this role, you will be responsible for designing, developing, and maintaining efficient and scalable data pipelines to collect information from various websites and online platforms.
You will work closely with data analysts, product managers, and backend engineers to ensure timely and accurate data delivery.
The ideal candidate will have 2-3 years of hands-on experience in web data extraction and processing. Strong proficiency in Python and data extraction libraries/frameworks is required.
The key responsibilities of this role include:
- Designing, developing, and maintaining robust data systems using tools such as Scrapy, Selenium, or BeautifulSoup.
- Building and managing large-scale data pipelines with scheduling, logging, and error handling.
- Optimizing data acquisition for performance, reliability, and maintainability.
- Cleaning, parsing, and structuring raw data into usable formats (JSON, CSV, or databases).
- Ensuring compliance with websites' terms of service and best practices for ethical data collection.
- Collaborating with cross-functional teams to understand data requirements and deliver relevant datasets.
Required skills and qualifications include:
- 2-3 years of hands-on experience in web data extraction and processing.
- Strong proficiency in Python and data extraction libraries/frameworks.
- Knowledge of proxies, user-agents, and rotating IPs.
- Familiarity with regular expressions, XPath, and CSS selectors for data parsing.
- Experience with PostgreSQL, MongoDB, or other databases for storing and querying extracted data.
- Ability to write clean, modular, and maintainable code with proper documentation.
- Experience with version control tools like Git.
Preferred qualifications include:
- Familiarity with containerization tools such as Docker.
- Basic knowledge of data cleaning, ETL workflows, and data engineering principles.
- Exposure to job scheduling tools like Airflow, Celery, or Cron.
- Previous experience with extracting large-scale or high-frequency data projects.
This role offers opportunities for growth and development in a dynamic and innovative environment.
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