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Data Engineer GCP (Google Cloud Plataform)

Remote, Porto·Added over a year ago

This job was published a year ago

act digital

63 open roles

Our summary

Work mode
Remote (Porto)

Skills

Nice to have

Requirements

What we're looking for

REQUESTED HARD SKILLS

  • 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: o Pub/Sub o Kafka o Google Cloud Storage o Dataflow (or Apache Beam)

The role

We are looking for a skilled Data Engineer to join our team. As a Data Engineer, you will be 
responsible for understanding business and technological challenges, develop data pipelines 
tackling those challenges, and ensuring their smooth deployment. You will as well be 
responsible of the applications of standard industry and within-the-company good practices,
and the application and evolution of our various patterns. This is a remote position.

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.

About act digital

act digital is an AI-first multinational technology services company that designs and deploys AI solutions, intelligent agents, and digital transformation strategies. Its services span Data & AI, Intelligent Automation, Software Engineering & Quality, Digital Experience, Enterprise Platforms, Application Modernization, Cloud & Infrastructure, and Cybersecurity, delivered through staff augmentation, AI agentic squads, and strategy-to-execution engagements with onshore, nearshore, and offshore models.

With more than 7,000 employees ("impactors") worldwide and over 500 clients served across 12-13 countries, the group works with partners such as AWS, Microsoft, Salesforce, and Databricks, and has been recognized as a leader in digital transformation in the ISG study.

Founded
2011
Employees
7,000+
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