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Senior Data Engineer
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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Capgemini 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 |
Capgemini was founded by Serge Kampf in 1967 as an enterprise management and data processing company. The company was founded as the Société pour la Gestion de l'Entreprise et le Traitement de l'Information (Sogeti).In 1974 Sogeti acquired Gemini Computers Systems, a US company based in New York.In 1975, having made two major acquisitions of CAP (Centre d'Analyse et de Programmation) and Gemini Computer Systems, and following resolution of a dispute with the similarly named CAP UK over the international use of the name 'CAP', Sogeti renamed itself as CAP Gemini Sogeti.
Job ID: 152150377
Skills:
S3, Sentiment Analysis, Grafana, Apache Airflow, Numpy, Ec2, Javascript, Docker, MySQL, Elasticsearch, Sns, Flask, Selenium, Web Scraping, Python, Aws Lambda, Scrapy, Apis, Apache Spark, Sql, Django, Git, Cloudwatch, Pandas, Sqs, MongoDB, Postman, VS Code, Embeddings, information extraction, OpenAI GPT, EKS, Jupyter, NER
Skills:
MLops, Power Bi, Azure Databricks, Azure DevOps, Delta Lake, GitHub Actions, Agentbricks, MLflow, Databricks Apps, LLMOps, Feature Store, Mosaic AI, Databricks SQL, Unity Catalog
Skills:
PostgreSQL, Tableau, Emr, Redshift, Python, Sql, Domo, AWS, Airflow, Superset
Skills:
snowflake , Adf, Performance Tuning, Azure Synapse, Agile, Data Governance, Dax, Python, Troubleshooting Complex Data Pipelines, ADLS Gen2, Enterprise Reporting Solutions, Power BI Premium, Dedicated SQL Pool, Lakehouse, Azure Data Engineering, Azure SQL DB, Advanced Data Modeling, Data Engineering Lifecycle
