Inactive
C

Capgemini

Global consulting, technology services, outsourcing

Azure Databricks Engineer

Data EngineeringPosted on Aug 3
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Four to twelve years of experience in Azure Databricks, with strong PySpark experience.
  • Experience with Azure Databricks and Azure Data Factory.
  • Experience with Azure data components, including Azure SQL Database, Azure SQL Warehouse, and Synapse Analytics.
  • Experience with programming in Python, PySpark, Scala, and Hive.
  • Experience building CI/CD pipelines in data environments.

Responsibilities

  • Design and develop end-to-end data pipelines using Azure Data Factory, Databricks, PySpark, SQL, Delta Lake, and Azure Data Lake.
  • Build and optimize ETL workflows for ingesting, transforming, and loading structured and semi-structured data into Azure Synapse Analytics and Azure Data Lake Storage.
  • Implement data validation and quality frameworks to ensure data reliability.
  • Write efficient PySpark and SQL code for complex transformations, aggregations, and performance tuning.
  • Manage secure access using Azure Key Vault, role-based permissions, and compliance best practices.
  • Work in an Agile/Scrum environment to deliver solutions aligned with business needs.

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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