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Capgemini

Global consulting, technology services, outsourcing

Azure Databricks Lead

Data EngineeringUpdated on Nov 14
Full-timeCharlotte, NC, USA

About the Job

Requirements

  • Experience with role-based access controls, data masking, and developing models with Unity Catalog to enable secure sharing and ensure classification, lineage, and auditability.
  • Hands-on experience with PySpark job development and implementation.
  • Background working with orchestration tools such as Airflow.
  • Strong knowledge of Unity Catalog and large-scale governance.
  • Knowledge of advanced Databricks features such as Databricks Apps and Delta Sharing.
  • Knowledge of real-time and streaming integration.

Responsibilities

  • Design enterprise-scale Lakehouse architectures using Databricks.
  • Define target-state data platform architectures and migration roadmaps.
  • Develop reference architectures, reusable frameworks, and accelerator solutions.
  • Establish enterprise data governance, security, and operational standards.

Desired Qualifications

  • Familiarity with continuous integration and continuous delivery (CI/CD) methods is desired.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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