Design, maintain, and improve web scrapers for alternative datasets; clean, transform, validate, and load data into databases or warehouses; orchestrate pipelines with Airflow; and build quality checks, alerts, and data tools. Collaborate with analysts and cross-functional teams to define data requirements, investigate time-sensitive incidents, and support investment decision-making through reliable datasets and notifications.
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 and then utilize Python’s Pandas library for data cleaning and manipulation. Then ingest the data into a Database/Warehouse and schedule the scrapers using Airflow or other tools.
Role Summary
Perform web scraping using various scraping techniques and then utilize Python’s Pandas library for data cleaning and manipulation. Then ingest the data into a Database/Warehouse and schedule the scrapers using Airflow or other tools.
Requirements
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 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- today operations.
- Design and implement products and tools to enhance the Web scraping Platform.
Qualifications
Must have
- 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
Preferred
- Experience containerizing workloads with Docker(Kubernetes a plus)
- Experience with building automation (Jenkins, GitHub Actions, CI/CD)
- Experience with AWS technologies like S3, RDS, SNS, SQS, Lambda, etc
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 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- today operations.
- Design and implement products and tools to enhance the Web scraping Platform.
Qualifications
Must have
- 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
Preferred
- Experience containerizing workloads with Docker(Kubernetes a plus)
- Experience with building automation (Jenkins, GitHub Actions, CI/CD)
- Experience with AWS technologies like S3, RDS, SNS, SQS, Lambda, etc
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