20 publicaciones de empleo destacadas en databricks platform engineer (¡Están contratando!)

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JLL —Madrid, Madrid provincia
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Axpo Group —Madrid, Madrid provincia
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Kyndryl —Madrid, Madrid provincia
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Roche —Madrid, Madrid provincia
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Accenture —Barcelona, Barcelona provincia
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Talan —Málaga, Málaga provincia
- Jornada completa
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Senior Databricks Engineer, Madrid (on-site) – International client

The White Team -
Tres Cantos, Madrid provincia

Solicitar ahora

Detalles del empleo

Hace 8 horas

Cualificaciones

Azure
Spark
Inglés
SQL
Scala
Unity
ETL
Cloud
Apache
Requisitos comerciales
Python

Descripción completa del empleo

Senior Databricks Engineer, Madrid (on-site) – International client

Job role: Senior Databricks Engineer.

Required technical skill set: Azure Databricks + Apache Spark.

Minimum experience: 6-10 years.

Language: English (C1) MANDATORY.

Location: Madrid (first 3-6 months on-site).

DESCRIPTION:

We are looking for a talented Senior Databricks Engineer with strong expertise in Azure Databricks and Apache Spark to design, build, and maintain scalable data pipelines. In this role, you will work with diverse data sources to deliver reliable, high-quality data solutions, ensuring data accuracy, integrity, and performance. You will collaborate closely with stakeholders, including data owners and analysts, to understand business requirements and implement efficient data processing solutions, while proactively monitoring and optimizing data pipelines within a cloud-based environment.

Technical competences

Must have:

Experience with Databricks-specific tools and features.
Experience with Datafactory.
Proficiency in programming languages such as Python or Scala for data processing on Databricks
Experience with Azure cloud platform.
Strong understanding of SQL.
Experience with ETL and processes, Unity Catalog.

Good-to-have:

Certifications in Databricks or related cloud technologies.

Responsibilities:

Design, build, and maintain scalable and efficient data pipelines using Databricks. Integrate data from various sources (for eg. Azure storage account, SFTP, Fabric) using Apache Spark within Databricks.
Implement processes and checks to ensure the accuracy and completeness of data.
Work closely with data owners, analysts, and other stakeholders to understand data requirements and deliver solutions.
Monitor data pipelines for issues and resolve them promptly to maintain data flow integrity.

Language:

English (C1) MANDATORY.

Location:

Madrid (first 3-6 months on-site).

Rate:

285-304 €/day.

Solicitar ahora

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