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Data Engineer

1 month ago

London, Greater London, United Kingdom Capgemini Full time

About the Role

As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.

Your Key Responsibilities

  • Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
  • Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
  • Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
  • Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
  • Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
  • Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.

Your Skills and Experience

  • Minimum 3+ years of experience as a Data Engineer or similar role.
  • Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.
  • Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
  • Knowledge of SQL and scripting languages like Python or Scala and hands-on experience with AI/ML concepts and tools.
  • Excellent problem-solving and analytical skills and strong communication and teamwork skills.
  • Passion for data and a thirst for learning.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2023 global revenues of €22.5 billion.