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Capgemini

Global consulting, technology services, outsourcing

Senior Data Engineer - Azure

Data EngineeringUpdated on Nov 14
Full-timeFremont, CA, USA

About the Job

Requirements

  • At least 8 years of experience in modern data engineering, data warehousing, and data lake technologies on Azure.
  • Expertise in data warehouse best practices, development standards, and methodologies.
  • Strong experience with mandatory big data platforms; Databricks experience is preferred but not mandatory.
  • Ability to implement Medallion Architecture for data management.
  • Hands-on expertise in Python, PySpark, and SQL.
  • Proficiency in Microsoft Azure Cloud Services.
  • At least 12 years of experience with SQL, schema design, and dimensional data modeling.
  • Experience with common ETL/ELT tools, including Azure Data Factory, Informatica, and Talend.
  • Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, and Azure Blob Storage.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Lead development teams, drive project timelines, and ensure high-quality deliverables.
  • Design and lead development efforts.
  • Manage stakeholders.

Desired Qualifications

  • Experience with Databricks is highly desirable but not mandatory.

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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