Data Quality Specialist
2 weeks ago
Rooster Inc. is a pioneering company in the automotive industry, dedicated to revolutionizing the car shopping and financial planning experience. Founded in 2023, our mission is to provide innovative solutions to the complex challenge of forecasting the total ownership cost of used cars.
Our Vision
We aim to become a leading player in the automotive marketplaces sector, leveraging cutting-edge technology to make car shopping and financial planning easier and more accessible.
Role Overview
As a Data Quality Specialist, you will play a critical role in ensuring the accuracy and reliability of our web scraping pipelines. Your responsibilities will include:
- Managing and Maintaining Existing Scripts
- Deploying and Automating Python Pipelines using Google Cloud and Google Colab
- Cleaning and Standardizing Data to Ensure Consistency Across Datasets
- Monitoring Scraper Performance and Troubleshooting Issues to Ensure High-Quality Data Collection
- Collaborating with the Team to Develop New Templates and Improve Existing Ones
- Implementing Quality Assurance Processes to Ensure Data Accuracy and Completeness
- Utilizing Google Drive for Data Storage and Management
- Optimizing Code for Efficiency and Scalability
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field.
- Proficiency in Python with a focus on data collection libraries such as BeautifulSoup, Scrapy, or Pyppeteer.
- Experience with cloud platforms, preferably Google Cloud (GCP).
- Familiarity with Google Colab for code execution and Google Drive for data storage.
- Strong problem-solving skills and attention to detail in handling data quality issues.
- Knowledge of regular expressions and data cleaning techniques.
- Understanding of APIs and handling dynamic web content (preferred).
- Ability to work independently, manage time effectively, and meet project deadlines.
What You Will Gain
- Hands-on experience in web scraping, cloud computing, and data management.
- Exposure to real-world production environments and the opportunity to deploy your work.
- Mentorship from experienced engineers and data scientists.
- A chance to contribute to an innovative automotive marketplace.
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