At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role

Has 8–12 years of IT experience with minimum 6 years of experience in data warehouse, data lakes, ETL/ELT, and data pipelines on cloud. Has strong data pipeline implementation experience with at least one cloud provider – AWS, Azure, or GCP.
Experience with cloud storage, cloud database, cloud data warehousing and Data Lake solutions like Snowflake, BigQuery, AWS Redshift, ADLS, S3.
Advanced expertise in dbt (data build tool), including designing enterprise-grade dbt projects, reusable macros, setting management (dev/test/prod), and performance tuning of dbt models.




Strong experience in designing scalable ELT architectures using dbt as the transformation layer and implementing layered data models (staging, intermediate, marts). Ability to troubleshoot and fine-tune data workflows and dbt models to handle high data volume and velocity.
Experience in designing reusable data transformation frameworks and standardized data models using dbt. Hands-on experience implementing monitoring, logging, alerting, and observability for pipelines and dbt jobs.
Your Profile

Must have completed at least one full end-to-end implementation cycle using dbt in a production environment. Good knowledge of cloud compute services, load balancing, networking, identity management (IAM), authentication, and authorization. Proficient in implementing serverless components (AWS Lambda, Azure Functions, Step Functions, Cloud Run) for orchestration and automation.
Experience in using cloud data integration services such as Azure Databr

📌 DBT Cloud Data Engineer (Pune)
🏢 Capgemini
📍 Pune