Capgemini is a global business and technology transformation partner, empowering organizations to unlock the value of technology. They are seeking a GCP Associate Data Engineer to build and maintain data platforms on Google Cloud Platform, ensuring data quality and collaborating with various stakeholders.
Responsibilities:
- Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform
- Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer
- Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases
- Ensure data quality, validation, and adherence to data governance and security standards
- Develop infrastructure as code using Terraform or equivalent tools
- Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies
- Apply GCP security best practices, including IAM, networking, encryption, and compliance controls
- Partner with business and technology stakeholders to translate technical designs into functional, efficient code
- Act as a technical developer on cloud data modernization and GCP best practices
- Support solution implementation, including testing, debugging, and production support
Requirements:
- 3+ years of overall IT experience with 3+ years specifically in cloud data engineering
- Proven experience building and deploying GCP-based data pipelines
- Background with large enterprise data programs across industries
- Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow)
- Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL
- Experience with CI/CD, Terraform, and DataOps practices
- Exposure to AI/ML enablement on GCP (Vertex AI is a plus)
- Google Professional Data Engineer Certification
- Strong communication and stakeholder management abilities
- Ability to explain technical concepts to technical and non-technical audiences
- Experience working in global, distributed teams
- Passion for innovation, engineering excellence