Data Engineer with Django Knowledge

Worldwide | April 25, 2023

Report as Closed

Company: Sngular

Salary: $36,000 - $45,600

Type: Remote

Employment: Full-time

Description:

An international team of expert hands-on information technology problem solvers that helps companies leverage today’s most cutting edge digital technologies to create value and grow.

People first: Sngular is a collaborative people-oriented company, where YOU and your perspective will always be valued. Our number one value is "People before results" and we have created a big family in which each member is taken care of. You will also have flexible schedules, home office possibilities, digital disconnection, mentoring, days off, and very fun events :)
Continuous growth and training: We have a Start-up spirit with the infrastructure of a big organization (we are 1400 already), you will be offered professional growth opportunities, learn new skills, gain new certifications, become a Lead or Manager…leave your comfort zone the way YOU want it! Your career path and treatment will always be personalized, tell us what your goal is so we can reach it together. You will have Internal training, an Annual training allowance, Free unlimited access to Udemy; Bonus for Obtaining Certifications, Tech talks + Language training.

  • At least 5 years of experience working on Python
  • At least 3 years of experience working with unstructured datasets using PySpark on Spark on Databricks
  • At least 3 year of experience in cloud technologies: Azure, Docker, Ansible, or Terraform
  • At least 3 years of experience developing microservices: Python, PySpark, TwistedPy, Django
  • At least 1 year of experience with a streaming data platform consumption using streaming
  • At least 1 year of experience with Azure Data Factory.
  • At least 1 year of experience building data pipelines, CI/CD pipelines, and fit for purpose data stores.

People first: Sngular is a collaborative people-oriented company, where YOU and your perspective will always be valued. Our number one value is "People before results" and we have created a big family in which each member is taken care of. You will also have flexible schedules, home office possibilities, digital disconnection, mentoring, days off, and very fun events :)
Continuous growth and training: We have a Start-up spirit with the infrastructure of a big organization (we are 1400 already), you will be offered professional growth opportunities, learn new skills, gain new certifications, become a Lead or Manager…leave your comfort zone the way YOU want it! Your career path and treatment will always be personalized, tell us what your goal is so we can reach it together. You will have Internal training, an Annual training allowance, Free unlimited access to Udemy; Bonus for Obtaining Certifications, Tech talks + Language training.

What will you do:

  • Develop code for applications building experience using Databricks and data streaming in Python using Azure cloud-based data warehousing services.
  • Design and implementation of Python code and frameworks as a Django.
  • Working in Azure Cloud with Azure Data Factory.
  • Build pipelines to enable features to be provisioned for models served by Microservices.
  • Familiar with data science model building concepts as well as consuming and from data lake.

What we offer:

Our team can fill you in on all the details of our industry-leading benefits and career development opportunities during your interview process. A few highlights include:

  • Continuous professional growth: Internal training, Annual training allowance, Free unlimited access to UDEMY; Bonus for Obtaining Certifications, Tech talks + Language training
  • Feel safe: Major Medical Expenses Insurance, Minor Medical Expense Insurance, Life insurance Plan
  • Work-life balance: Respected schedule, Digital disconnection, 12 Vacation days + holidays
  • Pantry Vouchers
  • Help others to grow and receive a bonus for sharing your knowledge
  • Bonus for referrals
  • Welcome KIT
  • Very fun virtual events
  • And more...!

Apply here:

Web: Apply here

Emails:



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