Senior Data Platform Engineer (Databricks) (Madrid)

Senior Data Platform Engineer (Databricks) (Madrid)

03 ago
|
Epam Systems
|
Madrid

03 ago

Epam Systems

Madrid

Experteer Overview
Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora.
Senior Data Platform Engineer at EPAM will architect, build, and optimize cloud-agnostic data platforms using Databricks to unlock scalable data insights. You will work across AWS, Azure, and GCP to design robust pipelines, ensure security, and drive performance. This role blends hands-on platform work with mentoring and cross-team collaboration to support digital transformation for enterprise clients. You will showcase advanced Databricks capabilities and guide the team toward efficient, reliable data operations.
Compensaciones / Incentivos
• Architect and deploy Databricks-based data platforms with a focus on performance and security
• Build cloud-agnostic data solutions across AWS, Azure, and GCP
• Design and implement data pipelines spanning data lakes, warehouses, and streaming tech
• Utilize Databricks SQL, Delta Lake, MLflow, and Spark for data interaction and optimization
• Collaborate with cross-functional teams to run Databricks-based workflows




• Develop CI/CD pipelines for data platform deployments and testing
• Set up monitoring, logging, and alerting frameworks for platform health
• Optimize compute and storage to balance cost and performance
• Troubleshoot Databricks and Spark performance issues
• Mentor teammates on cluster management and resource allocation in Databricks
• Maintain security and compliance across platform operations
• Promote adoption of Photon and Graviton-enabled Databricks capabilities
• Continuously refine architectures to meet xqbhyrx evolving business and tech needs
Responsabilidades
• seasoned Data Platform Engineer with Databricks expertise
• experience across multi-cloud environments (AWS, Azure, GCP)
• strong background in data pipelines, data lakes, warehouses, and streaming tech
• proficient with Databricks SQL, Delta Lake, MLflow, and Spark
• ability to design secure, scalable, cloud-agnostic solutions
• experience with CI/CD for data platforms and infrastructure monitoring
Requisitos principales


📌 Senior Data Platform Engineer (Databricks) (Madrid)
🏢 Epam Systems
📍 Madrid

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