Junior Data Engineer  

•Develop and maintain web scrapers to extract data from various websites and APIs.
• Design and optimize data warehouse structures to support data analytics and data science requirements.
• Develop and maintain robust ETL pipelines to populate and manage data within the data warehouse.
• Collaborate with stakeholders and data team members to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data, supporting analytics and driving process improvements.
• Implement best practices in data engineering, ensuring data integrity, quality, scalability, and proper documentation.
• Demonstrate strong analytical skills with the ability to collect, organize, analyze, and present information accurately for both structured and unstructured datasets.

• Junior IC (1–2 years experience).
• Capable of autonomous design and architecture execution.
• Proficiency in Python and SQL, especially for web scraping and data manipulation tasks.
• Basic experience with web scraping tools and frameworks, such as Scrapy, Selenium, HTTPX, or Requests.
• Ability to extract structured and unstructured data (HTML, JSON, CSV) using tools like BeautifulSoup, dataclasses/pydantic, and regular expressions (regex).
• Experience in storing and querying data in SQL databases.
• Strong attention to detail, critical thinking, and problem-solving skills to handle data inconsistencies, implement error handling, and ensure scraper reliability.
• Strong in datawarehouse and programming fundamentala