Azure Databricks Platform Engineer (Data & Cloud Ops)

Capgemini; Buenos Aires; Presencial; ARS 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

Capgemini Engineering is seeking an experienced Azure & Databricks Platform Support Engineer to manage and optimize enterprise data platforms on Azure. You will monitor Databricks workspaces, ensure platform reliability, and support data pipelines for demanding analytics workloads.

The role requires hands-on experience with Azure Databricks, PySpark, Spark SQL, and Python, plus CI/CD via Azure DevOps and infrastructure as code practices. A collaborative, customer-focused mindset is essential.

Formación

• Strong hands-on experience with Azure Databricks, PySpark, Spark SQL, and Python.
• Experience supporting Azure Data Factory, ADLS, Synapse, and Azure SQL.
• Knowledge of Delta Lake, Unity Catalog, Databricks Workflows, and cluster management.

Responsabilidades

• Monitor and support Azure Databricks workspaces, clusters, jobs, and Delta Lake environments.
• Provide L2/L3 support for Azure Data Platform services including ADF, Synapse, ADLS, Key Vault, and DevOps.
• Troubleshoot production incidents, job failures, and data pipeline issues; ensure SLA compliance.

Conocimientos

Azure Databricks

PySpark

Spark SQL

Python

L2/L3 support

CI/CD

Infrastructure as Code

Azure DevOps

Git

Azure Monitor

data security

ETL/ELT

Analytical skills

Educación

Azure Data Engineer Associate (DP-203)

Databricks Certified Data Engineer (Associate/Professional)

Microsoft Azure Administrator Associate

Herramientas

Delta Lake

Unity Catalog

Databricks Workflows

Azure DevOps

Descripción del empleo

Capgemini Engineering is seeking an experienced Azure & Databricks Platform Support Engineer to manage and optimize enterprise data platforms on Azure. You will monitor Databricks workspaces, ensure platform reliability, and support data pipelines for demanding analytics workloads.

The role requires hands-on experience with Azure Databricks, PySpark, Spark SQL, and Python, plus CI/CD via Azure DevOps and infrastructure as code practices. A collaborative, customer-focused mindset is essential.