Platform Engineer- Terraform(AWS/Azure)

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 Description

As a Platform Engineer – DataOps, you are responsible for building, automating, and maintaining scalable data platforms and pipelines across Azure/AWS environments. The ideal candidate will have deep experience with Terraform, Azure Data Factory (ADF), Databricks, and PySpark, and will play a key role in enabling reliable, secure, and efficient data operations.

Key Responsibilities:

• Design, implement, and manage cloud-native data infrastructure using Terraform across Azure/AWS.
• Build and maintain robust, scalable data pipelines using Azure Data Factory and Databricks.
• Develop and optimize PySpark code for large-scale data processing and transformation.
• Implement CI/CD pipelines and automation for infrastructure and data workflows.
• Collaborate with data engineers, DevOps, and analytics teams to ensure platform reliability and performance.
• Monitor, troubleshoot, and optimize data pipelines and infrastructure for performance and cost-efficiency.
• Ensure compliance with data governance, security, and privacy standards.
• Maintain comprehensive documentation for infrastructure, workflows, and operational procedures.
  
  

Required Skills & Qualifications:

• Years of experience in platform engineering, DataOps, or cloud data engineering roles.
• Strong hands-on experience with Terraform for infrastructure as code.
• Proficiency in Azure and/or AWS cloud platforms.
• Experience with Azure Data Factory, Azure/AWS Databricks, and PySpark.
• Solid understanding of CI/CD, version control (Git), and DevOps practices.
• Proficiency in SQL for data validation and transformation.
• Familiarity with monitoring and logging tools (e.g., Azure Monitor, CloudWatch, Log Analytics).
• Strong problem-solving and communication skills.
  
  

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.