Data Engineer (Databricks) job opportunity at Capgemini SE.

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Capgemini SE Data Engineer (Databricks)
Experience: Professional
Pattern: Permanent
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Hiring inbound within Stockholm

At Capgemini, you’ll have the opportunity to shape your career in a way that suits you, supported by a community of experts who inspire and empower you. We believe in reimagining what’s possible - using technology to build a more sustainable, inclusive world. Our Insights & Data team is at the forefront of this mission, delivering end-to-end Data & AI solutions across industries. With over 800 specialists in the Nordics, we leverage strategic partnerships with Google, AWS, Microsoft, Databricks, and Snowflake to scale Data & Analytics in the Cloud. Here, your expertise and perspective matter - join us in driving innovation and transforming industries with cutting-edge data solutions! Your role As a Data Engineer with a Databricks focus, you will be building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, as well as Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. In this role you will play a key part in: Designing and building 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. Building and deploying AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Your profile Professional experience of working with Data Engineering 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 and hands-on experience with AI/ML concepts and tools.  What we believe you will enjoy about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.We partner with names such as Google, Microsoft, Amazon and Databricks, which can equip you with valuable certifications in the latest technologies, if that is your ambition.  Your application As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required.#LI-EA1About CapgeminiCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com

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