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Remote Senior Data Engineer AWS Python at

Fusemachines
Enthusiastic Data Engineer needed to work with Fusemachines, a leading AI strategy, talent and education services provider. The role involves designing, building and maintaining data integration, storage and processing infrastructure for a legal company focusing on AI process automation.
Remote
Remote

βœ… Pros

  • πŸ’» Work entirely remotely
  • 🌍 Contribute to democratizing AI globally
  • πŸ“ˆ Immense professional growth opportunities

β›” Cons

  • ⏰ Must be able to work in Eastern/Central US hours
  • πŸ”„ Rapidly changing environment might be challenging
  • πŸ”€ Possibility of ambiguous requirements

πŸ”§ Skills

Python, AWS, APIs, Azure DevOps, GitHub and Jenkins proficiency
Experience in large scale data and analytics projects
Strong understanding and experience with SQL and writing advanced SQL queries
Expertise in data cleansing, transformation, and validation
Strong analytical skills
Good communication skills
Effective problem-solving abilities
Ability to quickly adapt to new technologies and requirements

πŸ—£οΈ Impact

Get an opportunity to democratize AI with Fusemachines, enabling more companies globally to leverage AI benefits. This role offers potential for immense professional growth in the field of data engineering and cloud platforms.

πŸ‘‰ Responsibilities

  • Develop and maintain data pipelines, ensuring smooth data flow from source to destination.
  • Handle data extraction, loading and transformation processes.
  • Collaborate with cross-functional teams to understand data requirements and provide data engineering support.
  • Evaluate and implement cutting-edge technologies, expanding skills in data engineering and cloud platforms.

πŸ” Requirements

  • Candidates should hold a Bachelor's degree in Computer Science or similar. Must have at least 3 years of experience in data engineering.
  • Candidates must be proficient in Python, AWS, APIs, Azure DevOps, GitHub and Jenkins.
  • Candidates should have experience in delivering large scale projects and products for Data and Analytics.

Application process

10 min
1
Enter basic info about yourself
2
Complete short assessments
3
Send an application and get free feedback about your personality

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