Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Remote Azure Engineer Jobs in Poland (34)
Search = Azure Engineer
Remote in = Poland
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate multiple data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
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Design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate multiple data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Senior DevOps Engineer - Azure (Contract, Poland, Remote)
Nearform
·
Full Time
·
3 Weeks Ago
Nearform
Design, implement, and maintain scalable cloud infrastructure on Azure using Infrastructure as Code and container orchestration. Collaborate with development teams and clients to optimize deployment workflows and ensure system security and performance.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Senior CloudOps / FinOps Engineer (Azure)
Future Processing
·
Full Time
·
4 Weeks Ago
Future Processing
You will be responsible for building and maintaining automated software development environments and infrastructure components. Additionally, you will ensure high security and flexibility while supporting the development team and client projects.
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Senior Cloud Data Engineer (Azure MSFabric MSDynamics)
Future Processing
·
Full Time
·
6 Weeks Ago
Future Processing
You will be responsible for designing, developing, and optimizing cloud-based data processing solutions within a team. This includes analyzing client requirements to deliver effective business solutions and maintaining technical documentation.
The candidate will design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. They will also integrate data from multiple sources and collaborate with BI teams to support reporting platforms.
Design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. Collaborate with BI teams to support reporting platforms while ensuring data quality and performance across large-scale processing systems.
The candidate will design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. They will also collaborate with BI teams to support reporting platforms and evolve existing SQL Server data solutions.
The candidate will design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. They will also collaborate with BI teams to support reporting platforms and evolve existing SQL Server-based data warehouse environments.
The engineer will design, implement, and maintain scalable cloud infrastructure solutions within Microsoft Azure while managing CI/CD pipelines. They will also collaborate with cross-functional teams to enhance system reliability, observability, and operational efficiency through automation.
You will design, implement, and maintain scalable cloud infrastructure solutions within Microsoft Azure while managing CI/CD pipelines and automation. Additionally, you will collaborate with cross-functional teams to ensure system reliability, observability, and performance across Linux and Windows environments.
The engineer will design, implement, and maintain scalable cloud infrastructure solutions within Microsoft Azure. They will also manage CI/CD pipelines, automation scripting, and observability tools to ensure system reliability and performance.
The engineer will design, implement, and maintain scalable cloud infrastructure solutions within Microsoft Azure. They will also manage CI/CD pipelines, automation scripting, and observability tools to ensure system reliability and performance.
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The role involves designing, implementing, and maintaining cloud infrastructure solutions in Microsoft Azure, as well as building and supporting CI/CD pipelines. The engineer will collaborate across development and infrastructure teams to enhance system reliability and performance.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations, implementing Delta Lake structures, and integrating data from various sources into the analytical layers.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations with PySpark/SQL, implementing Delta Lake, and integrating data from various sources into the platform.
The main responsibilities involve designing, developing, and maintaining Azure Data Factory pipelines, including orchestration and monitoring, while supporting the evolution of the data warehouse layer using Azure SQL Database or Synapse. The role also requires translating business needs into technical solutions and contributing to Azure DevOps CI/CD processes.
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