Capgemini
Data Engineer (Azure & AI)
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.
Job Location: Atlanta, GA/ Chicago, IL
Job Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. Ingest, transform, and curate structured and unstructured data from diverse sources for AI/ML consumption. Optimize data workflows for performance, reliability, and cost-efficiency. Enable data access and preparation for Azure AI services including Azure Machine Learning, Azure OpenAI, and Cognitive Services. Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices. Support RAG (Retrieval-Augmented Generation) and other GenAI patterns through data engineering best practices. Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions. Automate infrastructure provisioning using Terraform, Bicep, or ARM templates. Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics. Required Skills
8- 10+ years of experience in data engineering, cloud platforms, and big data technologies. Strong proficiency in Azure services: Data Factory, Synapse, Data Lake, Azure SQL, Cosmos DB. Experience with Python, Spark, SQL, and distributed data processing. Familiarity with AI/ML workflows and tools such as Azure ML, MLflow, and OpenAI APIs. Understanding of data governance, security, and compliance in cloud environments. Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Capgemini is committed to providing reasonable accommodations for individuals with disabilities and is an Equal Opportunity Employer encouraging diversity in the workplace.
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Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. Ingest, transform, and curate structured and unstructured data from diverse sources for AI/ML consumption. Optimize data workflows for performance, reliability, and cost-efficiency. Enable data access and preparation for Azure AI services including Azure Machine Learning, Azure OpenAI, and Cognitive Services. Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices. Support RAG (Retrieval-Augmented Generation) and other GenAI patterns through data engineering best practices. Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions. Automate infrastructure provisioning using Terraform, Bicep, or ARM templates. Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics. Required Skills
8- 10+ years of experience in data engineering, cloud platforms, and big data technologies. Strong proficiency in Azure services: Data Factory, Synapse, Data Lake, Azure SQL, Cosmos DB. Experience with Python, Spark, SQL, and distributed data processing. Familiarity with AI/ML workflows and tools such as Azure ML, MLflow, and OpenAI APIs. Understanding of data governance, security, and compliance in cloud environments. Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Capgemini is committed to providing reasonable accommodations for individuals with disabilities and is an Equal Opportunity Employer encouraging diversity in the workplace.
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