Job DescriptionWe are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience developing batch and real-time data pipelines, working with large-scale datasets, and enabling analytics and AI/ML use cases.
Key Responsibilities
Data Engineering & Pipeline Development
• Develop and optimize ETL/ELT workflows for structured and unstructured data processing using GCP services such as Dataflow, Dataproc, and Pub/Sub
• Implement event-driven data processing using Cloud Functions and Pub/Sub
• Build and manage data ingestion frameworks for streaming and batch data sources
Data Storage & Processing
• Design and optimize data lakes and data warehouses using BigQuery and Cloud Storage
• Develop efficient data models to support analytics, reporting, and machine learning workloads
• Optimize performance and cost of data pipelines and queries
Development & Automation
• Develop solutions using Python
• Automate workflows and orchestration using Cloud Composer (Airflow)
• Implement CI/CD pipelines and deployment automation
Collaboration & Support
• Collaborate with analytics, AI/ML, and business teams for data consumption needs
• Troubleshoot data issues and perform root cause analysis
• Continuously improve pipeline reliability, scalability, and performance
Required Technical Skills• GCP Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions (Gen2), Cloud Composer (Airflow), Cloud Storage, Cloud SQL
• Programming: Python (advanced)
• Query Language: SQL (advanced)
• Data Processing: Batch & Streaming architectures
• Scripting: Bash/Shell scripting
• Concepts: Data Warehousing, ETL/ELT, Data Lake / Lakehouse architectures
• Insurance Domain Experience|Certification Preferred
• Google Cloud Platform (GCP)
o Vertex AI
o Cloud Run
o BigQuery
o Cloud Storage
o IAM
o Cloud Logging
o Cloud Monitoring
• AI & Machine Learning
o Large Language Models (LLMs)
o Gemini Models
o Agentic AI Frameworks
o Prompt Engineering
o RAG Architectures
o Vector Search Concepts
o Semantic Retrieval
o AI Evaluation Frameworks
• Data & Analytics
o SQL
o BigQuery
o Metadata Modeling
o Data Pipelines
Required Experience• 5+ years of overall data engineering or software engineering experience
• 2+ years of hands-on Google Cloud Platform experience
• 2+ years of Python development
• 2+ years of experience building data pipelines (batch and streaming)
Preferred Qualifications
• Experience with Dataproc (Spark/PySpark) for large-scale processing
• Familiarity with event-driven architectures
• Knowledge of Terraform or Infrastructure as Code
• Understanding of cost optimization (FinOps)
Nice to Have
• Google Cloud Professional Data Engineer Certification
• Experience supporting AI/ML data pipelines
The base compensation range for this role in the posted location is: 75000-96000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
