ND
Remote
(Anywhere)
Salary Range
BRL
Full Time Employee
Experience Level
Senior
Job closed
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Requirements
4+ years of experience in the career
Azure DataBricks
Azure Data Factory
Tasks and Responsibilities
Show originalData Engineer
English: Advanced.
- Develop and implement efficient and scalable data pipelines using tools such as Azure Data Factory, Azure Databricks, and other Azure solutions.
- Develop solutions for integrating data from various sources, ensuring quality, consistency, and reliability.
- Work in close collaboration with multidisciplinary teams, including data scientists, ML engineers, and data analysts, to ensure the seamless integration of data engineering solutions.
- Experience in designing and implementing data pipelines using Azure Data Factory, Azure Databricks, and other related services.
- Solid knowledge of scripting languages such as Python, Scala, or PowerShell.
- Familiarity with data modeling concepts and query optimization.
Data Engineer
English: Advanced.
- Develop and implement efficient and scalable data pipelines using tools such as Azure Data Factory, Azure Databricks, and other Azure solutions.
- Develop solutions for integrating data from various sources, ensuring quality, consistency, and reliability.
- Work in close collaboration with multidisciplinary teams, including data scientists, ML engineers, and data analysts, to ensure the seamless integration of data engineering solutions.
- Experience in designing and implementing data pipelines using Azure Data Factory, Azure Databricks, and other related services.
- Solid knowledge of scripting languages such as Python, Scala, or PowerShell.
- Familiarity with data modeling concepts and query optimization.
English: Advanced.
- Develop and implement efficient and scalable data pipelines using tools such as Azure Data Factory, Azure Databricks, and other Azure solutions.
- Develop solutions for integrating data from various sources, ensuring quality, consistency, and reliability.
- Work in close collaboration with multidisciplinary teams, including data scientists, ML engineers, and data analysts, to ensure the seamless integration of data engineering solutions.
- Experience in designing and implementing data pipelines using Azure Data Factory, Azure Databricks, and other related services.
- Solid knowledge of scripting languages such as Python, Scala, or PowerShell.
- Familiarity with data modeling concepts and query optimization.
Data Engineer
English: Advanced.
- Develop and implement efficient and scalable data pipelines using tools such as Azure Data Factory, Azure Databricks, and other Azure solutions.
- Develop solutions for integrating data from various sources, ensuring quality, consistency, and reliability.
- Work in close collaboration with multidisciplinary teams, including data scientists, ML engineers, and data analysts, to ensure the seamless integration of data engineering solutions.
- Experience in designing and implementing data pipelines using Azure Data Factory, Azure Databricks, and other related services.
- Solid knowledge of scripting languages such as Python, Scala, or PowerShell.
- Familiarity with data modeling concepts and query optimization.
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