AWS Cloud Data Engineer — Build Scalable Pipelines

GRiT Solutions

Lisboa

Presencial

EUR 35 000 - 55 000

Tempo integral

14 dias+
Gerador de candidaturas

Turn this role into an interview — a resume and cover letter built around what this employer wants.

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Vantagens oferecidas por esta oferta de emprego

Continuous Training and Certifications
Competitive Compensation
Pay for Performance

Resumo da oferta

A leading tech solutions provider in Lisbon is seeking a Data Engineer to design and optimize cloud-based data solutions. Candidates should have a Bachelor's degree, solid experience in SQL and unstructured databases, and proficiency in Python. Responsibilities include managing data pipelines and collaborating with teams to ensure data quality. The role offers competitive compensation and training opportunities.

Qualificações

  • Solid experience with analytical database programming (SQL) and unstructured/graph databases.
  • Strong skills in writing complex SQL queries (knowledge of DBT Core is a plus).
  • Proficiency in Python and data-related libraries (e.g., Pandas, Boto3).
  • English level B2/C1 – able to communicate effectively in an international environment.

Responsabilidades

  • Design, implement, and optimize cloud-based data solutions.
  • Build scalable, high-performance data pipelines and manage complex datasets.
  • Collaborate with cross-functional teams to ensure data quality and governance.

Conhecimentos

SQL
Python
Data governance principles
Data platform architecture
DBT Core

Formação académica

Bachelor’s degree in Engineering, Computer Science, or a related discipline

Ferramentas

Data visualization tools (e.g., Tableau)
Workflow orchestration tools (e.g., Airflow)
Version control systems (GitHub or GitLab)

Descrição da oferta de emprego

A leading tech solutions provider in Lisbon is seeking a Data Engineer to design and optimize cloud-based data solutions. Candidates should have a Bachelor's degree, solid experience in SQL and unstructured databases, and proficiency in Python. Responsibilities include managing data pipelines and collaborating with teams to ensure data quality. The role offers competitive compensation and training opportunities.
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