Data Engineer

We 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

• 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

Keywords GCP | Python | BigQuery | Dataflow | Dataproc | Pub/Sub | Cloud Functions | ETL | Airflow | SQL | Streaming

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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

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., 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.