Data Engineer with Django Knowledge

Worldwide | June 9, 2023

Report as Closed

Company: Inflow

Salary: $21,600 - $33,600

Type: Remote

Employment: Full-time

Description:

We help growth with Data Science, Technology and Innovation

We impact on the growth of your company increasing scalability, learning capacity and influence, through the creation of insights for decision making.

Work style

We want all our inflowers to be learning machines.We are not interested in knowing everything, because we know that everything can be learned.We will give you all the tools to achieve your internal goals and reward the daring (while learning is generated). & Nbsp;P>

We call ourselves Inflow for two reasons.The most obvious, is its literal translation that has to do with generating growth in companies, ok that is our value proposition.But it has a second meaning that is even more important: in Flow, in the flow.It is flowing.And no, it is not taken under the sleeve or it is "peace and brother" ...(Continue reading about inflow culture)

• Experience proven such as Data Engineer or in similar roles.
• Extensive knowledge and experience in Python programming language.Django Framework.
• Familiarity with the AWS environment and ability to design and maintain data infrastructure in the cloud.Framework Scrapy.
• Experience in the design and development of data pipelines, ETL processing and data storage.LI> strong analytical skills and ability to work with large volumes of data.
• Excellent problem solving skills and detail attention.and to manage multiple projects and priorities effectively.
• strong verbal and written communication skills.

We impact on the growth of your company by increasing scalability, learning capacity and influence, through the creation of insights for decision making.

Work style

We want all our inflowers to be learning machines.We are not interested in knowing everything, because we know that everything can be learned.We will give you all the tools so that you achieve your internal goals and reward the daring (while learning is generated).

What to make us be inflowers?The most obvious, is its literal translation that has to do with generating growth in companies, ok that is our value proposition.But it has a second meaning that is even more important: in Flow, in the flow.It is flowing.And no, it is not taken under the sleeve or it is "peace and brother" ...

• Design, develop and implement efficient and scalable data pipelines using technologies and tools such as Python, Django, and Framework Scrapy.
• Build and maintain databases and data storage systemsrobust and reliable.
• Perform the extraction, transformation and load of data from various sources, ensuring their quality and coherence.and meet the data needs of the organization.
• Implement monitoring practices and ensure the optimal availability and performance of data systems.continuously improve the processes and efficiency of data engineering. Conditions

  Behaviors to your measure ... We will soon incorporate Atlas as a benefit manager with a strong component in learning and health.

  Optional

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