Data engineer

About YellowIpe

Our mission is to inspire the connection between technology and people, we foster the best of our professionals through our expertise in finding and attracting the best talent for the best projects. The Focus on People, Collaboration and Commitment are the pillars that guide us in this trajectory.

Join the yellow team as our new Data Engineer!

MAIN RESPONSABILITIES:

Projects understanding and Communication.

o Understand problems from a user perspective and communicate to clearly understand the issue.

o Ensure the architecture provided by the Data Architect is clearly understood by yourself.

o 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

o Write and communicate on new or updated interface contracts.

o Develop data pipelines based on the defined architecture.

o Ensure the regular good practices are applied.

o Deploy requested infrastructure, particularly using Terraform.

o Make peer reviews and ask to your peers to review your code when merging a new version of the codebase.

Testing

o Define tests with your project manager, based on the functional and technical requirements of the pipeline you’re developing.

o Perform those tests and communicate regularly on the results.

o Regularly summarize the results of your tests in a dedicated document.

Deployments

o Present to the Data Architect in charge of the architecture, and the Lead DataOps, the development that was performed through our Deployment Reviews.

o Track and communicate on any potential errors in the entire period of active monitoring following a deployment.

o 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)

REQUESTED SOFT SKILLS

The candidate should have worked in a Data Platform that was in an industrial scale.
Organized and demonstrate the ability to stay organized.
Demonstrated ability to understand quickly business and technical requirements of a data pipeline that needs to be developed, and challenge potential misconceptions.
Demonstrated clear communication in a fast-moving development environment.
Demonstrated ability to write and speak fluent English in a working environment.

Inportant informations:

•  Living in Portugal.
•  Hybrid regime 1x week in the Leiria/Pombal area.

Send your cv for our website - (Yellowipe - Software Development & IT Services)