CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results … Design, develop, and maintain scalable and reliable data pipelines using AWS services, PySpark, and Databricks
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Big Data Solution Architecture: Architect, build, and optimize big data solutions using Databricks and other modern data platforms such as Azure SQL, Synapse, and Snowflake. Data Strategy and Governance: Drive our data strategy, ensuring alignment with business goals and best practices
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DevOps: Experience with CI/CD practices, Git-based workflows, and Infrastructure as Code - Orchestration: Knowledge of data orchestration tools like Azure Data Factory, Airflow, or similar platforms … Familiarity with monitoring tools like Azure Monitor, Application Insights, and Databricks monitoring
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Data Engineering - Apply now! Apply now! Your tasks - Design and deliver data-driven IT projects on Databricks platform - Hands-on implementation of Cloud & Data Engineering projects … Land & Expand: recognise opportunities and risks in the Cloud Data analytics area
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Data Engineering - Jetzt bewerben! Jetzt bewerben! Deine Aufgaben - Design and deliver data-driven IT projects on Databricks platform - Hands-on implementation of Cloud & Data Engineering projects … Land & Expand: recognise opportunities and risks in the Cloud Data analytics area
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Find more jobs - Job Level: Professional - Location: Frankfurt, DE, 60323 … Support platform customers with all technical aspects of ML & AI Solutions: Integrate, deploy and manage ML & AI models and systems on the Databricks platform
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Übernahme von leitenden Rollen (z.B. IT-Architekt, Tech Lead, Principal Consultant) in datengesteuerten IT-Projekten im Bereich Databricks Platform Engineering: Projektmanagement und Implementierung sowie der Aufbau starker Kundenbeziehungen durch …
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IT-Architect, Tech Lead, Principal Consultant) in data-driven IT projects in the areas of Databricks platform engineering: project management and implementation and building strong customer relationships by delivering excellent service
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Für ein langfristiges Vorhaben im Bereich Machine Learning und Operationalisierung suchen wir einen erfahrenen Senior MLOps Engineer mit Schwerpunkt Databricks, der den gesamten End-to-End Machine Learning Life Cycle versteht, gestaltet und operativ betreut
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Zusammenarbeit mit Data Scientists und Data Analysten zur Bereitstellung von Datenlösungen für analytische und maschinelle Anwendungen. Entwicklung und Optimierung von Datenpipelines und MLOps Workflows mit Databricks und anderen Technologien auf der Azure Cloud Platform
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