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Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of experience in Data Engineering, Strong programming skills in Javascript, Typescript, Python, Experience with MongoDB and PostgreSQL, Familiarity with data modeling and design, Machine learning experience is a plus.

Key responsabilities:

  • Design and maintain data pipelines
  • Develop data models for business needs
  • Collaborate with team to understand data needs
  • Ensure data quality through monitoring and testing
  • Make architectural decisions as the first engineer
NodeFlair - Tech Salaries, Jobs & more logo
NodeFlair - Tech Salaries, Jobs & more Information Technology & Services Startup https://www.nodeflair.com
11 - 50 Employees
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Job description

Perks and Benefits from Our client:
  • Become part of a passionate and talented team with high ambitions for a world where bitcoin is money for everyday use
  • A challenging workplace and a great education when it comes to everything involving cryptocurrency
Your Responsibilities:
  • Designing, building, and maintaining data pipelines to ingest, process, and store data from a variety of sources, such as transactional databases, log files, and APIs.
  • Developing and implementing data models to support business needs and enable data-driven decision making.
  • Collaborating with the rest of the team to understand their data needs and build appropriate data infrastructure.
  • Ensuring data quality and accuracy through testing, monitoring, and debugging of data pipelines.
  • Building and maintaining documentation for data pipelines, data models, and other technical assets.
  • As the first data engineer of the company you will have to be the decision maker on a lot of early architecture choices.
Qualifications:
  • 5+ years of experience in Data Engineering
  • Strong programming skill, preferably in Javascript, Typescript and Python.
  • Experience with both relational and documental databases, preferably MongoDB and PostgreSQL.
  • Experience with data storage and processing systems.
  • Familiarity with data modeling and design.
  • The ability to communicate technical concepts to non-technical audiences, like marketing and product stakeholders.
  • Some machine learning experience is also a plus.


Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills

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