Hybrid Data Engineer - Python/SQL & Cloud Data

Accenture Portugal

Lisboa

Híbrido

EUR 40 000 - 60 000

Tempo integral

14 dias+

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Resumo da oferta

A leading technology consulting firm is looking for Data Engineers to design, develop, and maintain data solutions with a focus on Python and SQL. The role involves managing data pipelines and working with cloud-based platforms like Databricks and Azure. Candidates should have over 3 years of experience in data engineering or related fields, with fluency in English. This position offers a hybrid work model and the opportunity to contribute to innovative data solutions.

Qualificações

  • 3+ years of experience in data engineering, data science, or software development.
  • Strong proficiency in Python and SQL for data manipulation and transformation.
  • Fluency in English (spoken and written).

Responsabilidades

  • Design, build, and maintain data pipelines and workflows for structured and unstructured data.
  • Develop and optimize ETL/ELT processes using Python and SQL.
  • Contribute to the development of internal tools and applications (Python-based).
  • Work with cloud-based data platforms for large-scale processing.
  • Manage databases and ensure data quality and reliability.
  • Collaborate with cross-functional teams to understand data requirements.

Conhecimentos

Python
SQL
Data engineering
Cloud platforms (AWS, Azure, GCP)
Big data tools (Apache Spark, Databricks)
APIs (RESTful, GraphQL)
Fluency in English

Ferramentas

Databricks
Azure
Docker
Kubernetes

Descrição da oferta de emprego

A leading technology consulting firm is looking for Data Engineers to design, develop, and maintain data solutions with a focus on Python and SQL. The role involves managing data pipelines and working with cloud-based platforms like Databricks and Azure. Candidates should have over 3 years of experience in data engineering or related fields, with fluency in English. This position offers a hybrid work model and the opportunity to contribute to innovative data solutions.
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