[Hiring] Senior Data Engineer - Web Scraping @Alternative Path Private Limited

Role Description

This is a remote position. Alternative Path is seeking skilled software developers to collaborate on client projects with an asset management firm. In this role, you will collaborate with individuals across various company departments to shape and innovate new products and features for our platform, enhancing existing ones. You will have a large degree of independence and trust, but you won't be isolated; the support of the Engineering team leads, the Product team leads, and every other technology team member is behind you. This is an opportunity to join a team-first meritocracy and help grow an entrepreneurial group inside Alternative Path. You will be asked to contribute, given ownership, and expected to make your voice heard.

Role Summary:

• Perform web scraping using various scraping techniques.
• Utilize Python’s Pandas library for data cleaning and manipulation.
• Ingest the data into a Database/Warehouse.
• Schedule the scrapers using Airflow or other tools.

Qualifications

• Bachelors/master’s degree in computer science or in any related field.
• 4-6 years of experience in the data engineering field.
• Strong Python and SQL/Database skills.
• Strong expertise in using the Pandas library (Python) is a must.
• Strong expertise with scraping and common scraping tools (Selenium, Scrappy, Fiddler, Postman, XPath).
• Strong expertise in using the Apache Airflow platform for workflow orchestration and data pipeline management is a must.
• Experience with web technologies (HTML/JS, APIs, etc.).
• Proven work experience in working with large data sets for data cleaning, data transformation, data manipulation, and data replacements.
• Excellent verbal and written communication skills.
• Aptitude for designing infrastructure, data products, and tools for Data Scientists.

Requirements

• Collaborate with analysts to understand and anticipate requirements.
• Design, implement, and maintain web scrapers for a wide variety of alternative datasets.
• Perform data cleaning, exploration, transformation, etc., of scraped data.
• Collaborate with cross-functional teams to understand data requirements and implement efficient data processing workflows.
• Author QC checks to validate data availability and integrity.
• Maintain alerting systems and investigate time-sensitive data incidents to ensure smooth day-to-day operations.
• Design and implement products and tools to enhance the Web scraping Platform.

Company Description