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Capgemini

Global consulting, technology services, outsourcing

Data Engineer - Databricks

Data EngineeringUpdated on Nov 11
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Strong experience in data engineering, including at least one year of hands-on Databricks expertise.
  • Strong experience using Python for automation and data transformation.
  • Experience with at least one major cloud platform: AWS, Azure, or GCP.
  • Strong English language skills.

Responsibilities

  • Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
  • Design, build, and enhance data pipelines with Python and cloud-native tools.
  • Work closely with solution architects to define and uphold best practices in data engineering.
  • Ensure data consistency, security, and scalability within cloud-based environments.

Desired Qualifications

  • Solid understanding of SQL, including experience in query optimization and data modeling.
  • Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code tools such as Terraform or Bicep.
  • Experience with real-time data streaming technologies such as Kafka or Spark Streaming.
  • Knowledge of cloud storage solutions such as Data Lake, Snowflake, or Synapse.
  • Hands-on experience with PySpark for distributed data processing.
  • Relevant certifications, such as Databricks Certified Data Engineer Associate or cloud-based data certifications.

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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