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Python + Big Data Developer

Roles & Responsibilities

  • Proficiency in Python programming.
  • Experience with Big Data technologies and data architecture design.
  • Knowledge of SQL, APIs, and web scraping techniques.
  • Educational background in Computer Science, Data Science, or related fields.

Requirements:

  • Design and develop big data platform architecture.
  • Maintain and optimize data pipelines and storage solutions.
  • Implement data integration and management tools.
  • Support data access tools used by data scientists.

Job description

  • Design the architecture of our big data platform
  • Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
  • Design and implement data stores that support the scalable processing and storage of our highfrequency data
  • Maintain our data pipeline
  • Customize and oversee integration tools, warehouses, databases, and analytical systems
  • Configure and provide availability for dataaccess tools used by all data scientists

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