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Data Engineer - Remote

Posted 2 weeks ago
Data Analysis
Full Time
Egypt

Overview

Envision Employment Solutions is currently looking for a Data Engineer for one of our partners in the Technology, Information, and Media field.

In Short

  • Skilled in working with large volumes of text and image/video data.
  • Responsible for building scalable and reliable data pipelines.
  • Collect, process, and store text data from various sources.
  • Collaborate with data scientists and other engineers.
  • Support natural language processing and topic modelling projects.
  • Involve in AI for text analysis projects.
  • Consume scoring endpoints for text classification and translation.
  • Work with news articles, social media posts, and reviews.
  • Focus on data reliability and scalability.
  • Engage in collaborative project development.

Requirements

  • Experience in data engineering.
  • Proficiency in building data pipelines.
  • Knowledge of natural language processing techniques.
  • Ability to work with large datasets.
  • Experience with AI and machine learning concepts.
  • Strong programming skills.
  • Collaboration skills for team projects.
  • Familiarity with data storage solutions.
  • Problem-solving skills.
  • Attention to detail.

Benefits

  • Opportunity to work with innovative technologies.
  • Collaborative work environment.
  • Professional development opportunities.
  • Competitive salary.
  • Flexible working hours.
  • Health and wellness benefits.
  • Access to cutting-edge tools and resources.
  • Supportive team culture.
  • Potential for career advancement.
  • Involvement in impactful projects.
Envision Employment Solutions logo

Envision Employment Solutions

Envision Employment Solutions is a dynamic company specializing in connecting talented professionals with opportunities in the Technology, Information, and Media sectors. They focus on providing innovative employment solutions and are currently seeking skilled individuals, such as Data Engineers, to support their partners in managing and analyzing large volumes of data, including text and multimedia content. The company emphasizes collaboration and the development of scalable data pipelines to enhance data processing and analysis capabilities.

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