Azure Data Engineer: Scalable Pipelines, Databricks & BI

Caixa Mágica Software

Lisboa

Presencial

EUR 30 000 - 50 000

Tempo integral

14 dias+
Gerador de candidaturas

Uma candidatura feita para esta oferta — um currículo e uma carta de apresentação personalizados que vão ao encontro do anúncio.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Health and Life Insurance
Tech equipment and SIM card
Training in the latest technologies
Social events and team buildings

Resumo da oferta

A global software engineering company in Lisbon is seeking a Data Engineer to design and maintain data pipelines using Azure technologies. The ideal candidate should have hands-on experience with Azure Data Factory, SQL, Python, and data modeling methodologies. This is a full-time position with a focus on software development within a dynamic team, offering a permanent contract and a supportive work environment.

Qualificações

  • Proven experience working as a Data Engineer, designing, building, and maintaining scalable data pipelines.
  • Strong hands-on experience with Azure Data Factory (ADF), including Pipelines and Data Flows.
  • Proficient in SQL and Python for data manipulation and integration tasks.

Responsabilidades

  • Design, build, and maintain data pipelines and architectures.
  • Implement ETL and ELT processes.
  • Collaborate with teams to ensure optimal data delivery.

Conhecimentos

Data pipeline design and maintenance
Azure Data Factory (ADF)
SQL
Python
ETL processes
Cloud environments
Data modeling methodologies
Azure Databricks
Power BI

Ferramentas

Terraform
Tableau
Spotfire

Descrição da oferta de emprego

A global software engineering company in Lisbon is seeking a Data Engineer to design and maintain data pipelines using Azure technologies. The ideal candidate should have hands-on experience with Azure Data Factory, SQL, Python, and data modeling methodologies. This is a full-time position with a focus on software development within a dynamic team, offering a permanent contract and a supportive work environment.
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