Lead Data Architect - Cloud Services

Bebeedataengineer; Belo Horizonte; Teletrabalho; BRL 320.000 - 428.000; Tempo integral

Resumo da oferta

A leading data solutions company in Brazil is seeking an experienced Azure Data Engineer to design and maintain scalable ETL pipelines. You will utilize Azure Data Services and Apache Spark on Azure Databricks to create efficient data processing solutions. This role offers opportunities for professional growth, a collaborative environment, and mentorship. Ideal candidates have strong skills in data security, governance, and cloud optimization. Join us to contribute to innovative data solutions.

Serviços

Professional growth opportunities

Collaborative environment

Training and mentorship programs

Qualificações

• Experience in designing scalable ETL/ELT pipelines using Azure Data Services.
• Familiarity with data processing frameworks like Apache Spark.
• Ability to collaborate with cross-functional teams.

Responsabilidades

• Design, develop, and maintain ETL/ELT pipelines using Azure.
• Build high-performance data solutions with Azure Databricks.
• Collaborate with teams to deliver high-quality datasets.
• Optimize data workflows for performance and cost efficiency.
• Implement data security and governance best practices.

Conhecimentos

ETL / ELT processes

Azure Data Services

Apache Spark

Data security and governance

Collaboration

Ferramentas

Azure Databricks

Descrição da oferta de emprego

Azure Data Engineer Job Overview

Transform your career as a data professional with our Azure Data Engineer role.

Our culture of unlimited learning and collaborative environment will help you expand your ideas and contribute to success.

We are looking for a talented individual who wants to learn and grow with us, working remotely in Brazil or abroad.

Responsibilities

• Design, develop and maintain ETL / ELT pipelines using Azure Data Services to create scalable, efficient data pipelines that meet business needs.
• Build high-performance data processing solutions, utilizing Apache Spark on Azure Databricks to develop fast, reliable data processing solutions.
• Collaborate with cross-functional teams, working closely with data scientists, analysts, and stakeholders to deliver high-quality datasets that meet business requirements.
• Optimize data workflows for performance and cost efficiency, ensuring data workflows are optimized for performance and cost efficiency in the cloud.
• Implement best practices around data security, governance, and compliance, adhering to industry standards and best practices to ensure secure, compliant data handling.

You can expect opportunities for professional growth, collaboration in a diverse and innovative environment, and access to training and mentorship programs.