Data Engineer - F/M/NB

Cegid; Braga; Presencial; EUR 35 000 - 50 000; Tempo integral

Resumo da oferta

A leading company in cloud business management solutions is seeking a skilled Data Engineer to design and optimize scalable data pipelines on Google Cloud Platform. Collaborate with AI Engineers and software engineers to ensure efficient data processing and analytics.

Qualificações

• Experience with Google Cloud Platform and data engineering.
• Ability to design scalable data pipelines.

Responsabilidades

• Design and implement scalable data pipelines using GCP services.
• Optimize data storage and processing for performance.
• Automate data workflows and implement monitoring solutions.

Conhecimentos

Data Engineering

Google Cloud Platform

Data Quality

Data Security

CI/CD

Ferramentas

Terraform

BigQuery

Dataflow

Dataproc

Pub/Sub

Descrição da oferta de emprego

Cegid is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail, and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its 4,400 employees make more possible by helping their 500,000 customers unleash their potential thanks to innovative and purposeful business solutions.

Make more possible is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day to shape your future, ours, and our clients’ industries’ future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for sustainable performance.

We are looking for a skilled Data Engineer with expertise in Google Cloud Platform (GCP) to join our team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and architectures on GCP. You will work closely with our DialogFlow Platform Manager, AI Engineers, and software engineers to ensure efficient data processing and analytics.

As a Data Engineer, you will:

1. Design and implement scalable data pipelines using Terraform with GCP services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to process and transform large datasets.
2. Optimize data storage and processing for performance and cost efficiency.
3. Ensure data quality, security, and compliance with industry standards.
4. Automate data workflows and implement monitoring solutions for pipeline reliability.
5. Implement and maintain CI/CD pipelines.