Data Specialist

1 week ago

India beBeeDataSpecialist Full time US$ 80,000 - US$ 1,20,000
Job Description

We are seeking a skilled data specialist to join our team and contribute to client projects. As a member of our web scraping team, you will collaborate with analysts to understand and anticipate requirements, design, implement, and maintain web scrapers for various alternative datasets, perform data cleaning, exploration, transformation, etc., 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.

Key Responsibilities:

  • 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

Requirements:

  • Bachelor's/master's degree in computer science or in any 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:

  • 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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