Data Specialist

7 days ago

Shimoga, Karnataka, India beBeeSoftwareDeveloper Full time ₹ 15,00,000 - ₹ 20,00,000

At Alternative Path, we are looking for skilled software developers to collaborate on client projects. As a key member of our team, you will work with individuals across various departments to shape and innovate new products and features for our platform.

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Role Summary:

You will be responsible for performing web scraping using various techniques and then utilizing Python's Pandas library for data cleaning and manipulation. Additionally, you will ingest the data into a database/warehouse and schedule 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.

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

To be successful in this role, you must have:

  • A bachelor's or master's degree in computer science or a related field.
  • 2-4 years of software development experience.
  • Strong Python and SQL/database skills.
  • Strong expertise in using the Pandas library (Python).
  • 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 qualifications include:

  • 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.

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