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Data Architect (AWS) at Mindtech

Remote: 
Full Remote
Contract: 
Work from: 
Massachusetts (USA), United States

Offer summary

Qualifications:

Strong background in data architecture, Experience in database management, Proficiency in cloud technologies, Familiarity with MongoDB and AWS.

Key responsabilities:

  • Develop scalable data architecture
  • Oversee MongoDB database management
  • Integrate various data sources efficiently
  • Implement data processing workflows
MindTech logo
MindTech Scaleup http://mindtechcompany.com/
51 - 200 Employees
See more MindTech offers

Job description

Data Architect

Mindtech is your gateway to exciting and impactful tech projects. We specialize in end-to-end software outsourcing, linking Latin American talent with global opportunities. Our fast, cost-effective approach ensures that our clients receive exceptional service and innovative solutions. With a diverse team of over 70 skilled professionals across Latin America and the US, we are committed to delivering software that drives success.

Position Overview:
We are seeking a talented Data Architect to join our team and help us enhance our tracking and reporting capabilities. The Data Architect will be responsible for designing and overseeing the implementation of a robust data infrastructure to support our legislative tracking platform. This includes the efficient storage, retrieval, and processing of large volumes of legislative data from various sources. The ideal candidate will have a strong background in data architecture, database management, and cloud technologies, and will play a critical role in ensuring the scalability and performance of our data systems.

Key Responsibilities:

  • Design and Implement Data Architecture: Develop and maintain a scalable data architecture that supports the collection, storage, and processing of legislative data from multiple sources, including APIs and web scraping services.
  • Database Management: Oversee the management of MongoDB databases, ensuring data integrity, security, and performance.
  • Integration of Data Sources: Manage the integration of various data sources, and web scraping services, to ensure comprehensive legislative data coverage.
  • Data Processing and Automation: Implement data processing workflows, including the setup of cron jobs for daily data updates and the development of parsing services to handle and organize legislative data.

Required technologies:

  • AWS
  • React
  • LLMs
  • RAG
  • Neural networks

Required profile

Experience

Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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