Full-Stack Engineer

Industry: Other
Company size: 1-10

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Job description

A fast-growing company that is building a state-of-the-art platform for financial information services, with a focus on turning complicated financial data into insights that our clients can act upon, is looking for a Full-Stack Engineer. The engineer will be expected to keep track of all scraping procedures and help the team's data scraping and analysis skills evolve over time. The company is now a leader in the sector because of its creative method of deciphering and evaluating public financial records. This is an amazing opportunity for candidates to prove themselves and quickly climb up the ranks. 


Job Responsibilities:

  • Use HTML, CSS, Python, and Beautiful Soup to develop and manage complex online scraping scripts and tools that harvest, organize, and interpret data from a variety of websites and the SEC's EDGAR platform
  • Make optimal use of REST APIs for data access and manipulation to guarantee smooth data integration and retrieval procedures
  • Work together with stakeholders to understand the particular requirements for data extraction, ensuring that the data is captured accurately and pertinent to the project's goals
  • Oversee the handling and archiving of data that has been scraped, utilizing tools like Django and PostgreSQL to arrange and safeguard information while maximizing system efficiency
  • Examine and settle complicated data extraction problems, anticipating obstacles and putting forward solutions that improve data efficiency and accuracy
  • Directly scrape content from websites and from API responses
  • Assist stakeholders in obtaining accurate data by working together with the team

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a full-stack engineer
  • Prolific experience working with HTML, CSS, Beautiful Soup, and Python
  • Proven expertise using REST APIs in a production setting for data extraction and manipulation activities
  • Proficient in data parsing and possessing a strong grasp of web technologies, allowing for the effective extraction of information from large and intricate datasets
  • Expertise in Django and PostgreSQL is extremely advantageous as it offers extra tools for organizing and storing extracted data
  • Outstanding teamwork abilities are necessary to closely collaborate with stakeholders to determine data requirements and guarantee accurate data capture
  • Prior practical knowledge of the SEC's EDGAR system is very beneficial as it allows for an instantaneous contribution to the team's goals
  • Dedication to upholding strict data security guidelines, confidentiality, and ethical scraping techniques
  • Some familiarity with Django and PostgreSQL is desirable
  • Excellent English communication skills, both spoken and written

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