Data Engineer - Web Scraping

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 will be expected to make your voice heard.

Role Summary:

Performing Web Scraping using various scraping techniques and then utilizing Pythons Pandas library for data cleaning and manipulation. Then ingesting the data into a Database/Warehouse, and scheduling the scrapers using Airflow or other tools

Role Overview

The Web Scraping Team at Alternative Path is seeking a creative and detail-oriented developer to contribute to client projects. The team develops essential applications, datasets, and alerts for various teams within the client's organization, supporting their daily investment decisions. The mission is to maintain operational excellence by delivering high-quality proprietary datasets, timely notifications, and exceptional service. We are seeking someone who is self-motivated, self-sufficient, with a passion for tinkering and a love for automation.

In your role, you will:

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.

Qualifications

Must have

Bachelor's/masters degree in computer science or in any related field

3-5 years of software development experience

Strong Python and SQL/Database skills

Strong expertise in using the Pandas library (Python) 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

Preferred

Familiarity with scraping and common scraping tools (Selenium, scrapy, Fiddler, Postman, xpath) Experience containerizing workloads with Docker (Kubernetes a plus)

Experience with build automation (Jenkins, Gitlab CI/CD) Experience with AWS technologies like S3, RDS, SNS, SQS, Lambda, etc.