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Data Engineer Azure - Full remote - Portugal

Remote: 
Full Remote
Salary: 
58 - 58K yearly
Work from: 

Offer summary

Qualifications:

General knowledge of Google Cloud Platform with at least 1 year of experience., Minimum 2 years of experience with Apache Airflow., Extensive experience (at least 2 years) with Google BigQuery., At least 1 year of experience with Terraform..

Key responsabilities:

  • Understand and communicate user problems clearly.
  • Develop data pipelines based on architecture.
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Boost-IT Startup http://www.boost-it.pt
201 - 500 Employees
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Job description

Boost IT is a Portuguese technology consultancy company, we are integrated into one of the most entrepreneurial groups in Portugal, with investment in more than 30 companies.

We want to be known for being the most dynamic, energetic and reliable company to operate in the market and, for that, we want to count on you.

If you're passionate about technology and want to work on the most relevant technology projects, then this ad could be for you!

Boost IT. Doing IT. Better

Tasks

Projects understanding and Communication

  • Understand problems from a user perspective and communicate to clearly


understand the issue.

  • Ensure the architecture provided by the Data Architect is clearly understood by


yourself.

  • Communicate with the Data Architect and your peers on the technical solution


you’re developing and communicate with the Project Manager in charge of the

project you’re working on.

  • Development
  • Write and communicate on new or updated interface contracts.
  • Develop data pipelines based on the defined architecture.
  • Ensure the regular good practices are applied.
  • Deploy requested infrastructure, particularly using Terraform.
  • Make peer reviews and ask to your peers to review your code when merging a


new version of the codebase.

  • Testing
  • Define tests with your project manager, based on the functional and technical


requirements of the pipeline you’re developing.

  • Perform those tests and communicate regularly on the results.
  • Regularly summarize the results of your tests in a dedicated document.
  • Deployments
  • Present to the Data Architect in charge of the architecture, and the Lead


DataOps, the development that was performed through our Deployment

Reviews.

  • Track and communicate on any potential errors in the entire period of active


monitoring following a deployment.

  • Ensure diligent application of deployment process, logging, and monitoring


strategy.

Requirements

Google Cloud Platform: General knowledge of the platform and various services,

and at least one year of experience with GCP.

  • Azure Cloud Platform: A general knowledge of the platform is a plus.
  • Apache Airflow: At least two years of experience with the Airflow orchestrator,


experience with Google Composer is a plus.

  • Google BigQuery: Extensive experience (at least 2 years) with GBQ, know how to


optimize tables and queries, and able to design database architecture. The

candidate should know more than the regular creation of tables, and should be

aware of trade-offs in developing and deploying some infrastructure versus others.

  • Terraform: At least one years of experience with Terraform.
  • Apache Spark: This is an optional expertise we would highly value. Some of our


pipelines are slowly being rewritten using pySpark, the Data Engineer should be

able to maintain get them evolving.

  • Additional knowledge and experience that are a plus:
  • Pub/Sub
  • Kafka
  • Google Cloud Storage
  • Dataflow (or Apache Beam)

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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