Azure Data Engineer

Penta Consulting; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading consulting firm is seeking a Data Engineer to design end-to-end data architecture solutions using Microsoft Azure. Responsibilities include developing ETL pipelines, optimizing Data Lake solutions, and integrating machine learning models into data pipelines. Candidates should have strong proficiency in Azure technologies and excellent communication skills in English. This position offers the opportunity to work with premier enterprise businesses across Brazil remotely.

Qualificações

• Proven experience as a Data Architect or similar role in a cloud-first environment.
• Strong proficiency in Azure services.
• Expertise in data modeling and governance.

Responsabilidades

• Design and implement end-to-end data architecture solutions.
• Develop and manage ETL/ELT pipelines using Azure Data Factory.
• Integrate Azure Machine Learning models into data pipelines.

Conhecimentos

Professional English communication

Azure Foundry

Azure Data Factory

Data Lake

Databricks

Azure SQL

Descrição da oferta de emprego

We are currently looking for a Portuguese speaking Data Engineer to work across Microsoft Azure solutions in delivering proactive services and workshops to premier enterprise customers remotely in Brazil.

Key Responsibilities

• Design and implement end-to-end data architecture solutions on Microsoft Azure.
• Develop and manage ETL / ELT pipelines using Azure Data Factory.
• Architect and optimize Data Lake storage solutions for structured and unstructured data.
• Leverage Azure Databricks for big data processing, analytics, and machine learning workflows.
• Integrate Azure Machine Learning models into data pipelines and business applications.
• Design and maintain Azure SQL databases, ensuring performance, scalability, and security.

Required Skills & Qualifications

• Professional English written and oral communication
• Proven experience as a Data Architect or similar role in a cloud-first environment.
• Strong proficiency in Azure Foundry, Data Factory, Data Lake, Databricks, and Azure SQL.
• Experience with Microsoft Fabric and its integration into enterprise data platforms.
• Solid understanding of machine learning concepts and deployment in Azure ML.
• Expertise in data modeling, data warehousing, and data governance.
• Familiarity with DevOps practices, CI / CD pipelines, and infrastructure-as-code.

If you are interested in working with premier enterprise businesses across The Americas, then please apply!

Successful candidates will be contacted within 2 weeks of applying.