Team	Location
ENGINEERING	Remote

What You Will Be Doing:

Web Scraping and Data Extraction:
- Execute existing scripts for data scraping.
- Extract data from various websites and APIs using Python libraries such as Requests, Selenium, and Beautiful Soup.
Data Transformation and Cleaning:
- Transform, clean, and standardize data to ensure high quality and consistency.
- Utilize Python and Pandas, Excel for data manipulation and analysis.
Data Quality Checks:
- Develop and implement manual checks to ensure data accuracy and completeness.
- Perform manual quality checks to identify and rectify data inconsistencies and inaccuracies.
- Use Excel's nested text functions and logical operations to find and correct data issues.
Data Enrichment:
- Conduct secondary research to enrich data fields with additional information.
- Enhance datasets by integrating supplementary data sources.
Multiple File Handling and Management:
- Efficiently manage and handle multiple Excel and CSV files.
- Perform file operations such as merging, splitting, and cleaning data from multiple sources.
- Maintain organized file structures for easy access and retrieval.

Experience & Requirements:

Over one year of experience in data engineering or data analysis.
Proficiency in Python and experience with web scraping libraries such as Requests, Selenium, and Beautiful Soup.
Strong knowledge of data manipulation and analysis using Pandas and Excel.
Hands-on experience with Excel, including the use of nested text functions and logical operations.
Proficiency in handling and managing multiple Excel and CSV files.
Proficiency in SQL for data querying and manipulation.