Azure Databricks
3 job openings found.
areto
You design scalable data architectures in Azure, advise C-level clients on data modernization, and coach your team in implementing best practices for data platforms and governance.
Serviceplan Group
In this role, you will develop Azure-based data pipelines, integrate data sources, and create models for BI and AI applications, while fostering close collaboration with clients and teams.
Capgemini Deutschland Holding GmbH
In this role, you design and implement complex data infrastructures on Microsoft Azure, develop data warehouses and pipelines, and lead workshops to enhance team development.
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MobiLab Solutions GmbH
In this role, you design and maintain robust data architectures, manage data ingestion pipelines, and support the team in adopting new technologies while processing large datasets for machine learning.
Asklepios Kliniken GmbH
In this role, you will design and operate scalable data pipelines in Azure, develop ETL processes, optimize data processing with Azure Databricks, and create data models for PowerBI to drive innovative approaches in the healthcare sector.
In this role, you will plan, configure, and implement complex data infrastructures using Microsoft Azure or AWS. You will develop data-driven solutions and optimize data architectures while collaborating with the team on projects.
Westhouse Consulting GmbH
In this role, you will develop a scalable Data Lakehouse using Azure Databricks, integrating streaming and batch data while implementing data pipelines and governance processes.
In this role, you will develop a scalable Data Lakehouse architecture on Azure Databricks, migrate KNIME workflows, optimize data pipelines, and automate processes for data analysis and processing.
In this role, you design standardized procedures for ML and AI workflows on Azure Databricks and develop MLOps standards along with Generative-AI applications. You'll be integrating data sources, monitoring, and transferring knowledge.
Devoteam
In this role, you will design the architecture for AI/ML solutions on Azure, collaborate closely with clients, lead technical teams, and establish MLOps best practices to implement innovative AI projects.
In this role, you will develop AI solutions on Azure, implement ML models, and integrate them into applications. You will also work on GenAI projects and optimize MLOps processes for operational deployment.
In this role, you design AI solutions on Azure and lead projects to implement Machine Learning in large enterprises while guiding your team with best practices and integrating innovative technologies.
E.ON
In this role, you will manage data integration and ETL processes within the iPEN platform, develop efficient pipelines, and support other Data Engineers in their code contributions.
In this role, you will develop efficient data pipelines using Python and Snowflake, optimize cloud solutions on Azure, and ensure data processing quality through comprehensive testing.
In this role, you will develop end-to-end AI solutions on Azure, create ML models in Python, and integrate them into cloud applications while collaborating closely with data engineers and architects.