1 month ago
Base Salary
$115k - $145k/yr
Responsibilities
- Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data.
- Build scalable batch and real-time data processing solutions on Google Cloud.
- Develop event-driven processing solutions using Pub/Sub and Cloud Functions.
- Create and maintain data ingestion frameworks for enterprise data platforms.
- Design and optimize data lake, lakehouse, and data warehouse solutions and data models.
- Develop Python-based solutions and automate orchestration with Cloud Composer and Airflow.
- Implement deployment automation and CI/CD pipelines.
- Optimize pipeline and query performance, scalability, cost efficiency, reliability, security, and observability.
- Partner with stakeholders, analytics teams, data scientists, and engineers to deliver data solutions.
- Troubleshoot production issues and perform root cause analysis.
Requirements
- At least 5 years of data engineering, software engineering, or related experience.
- At least 2 years of hands-on Google Cloud Platform experience.
- At least 2 years of professional Python development experience.
- Experience developing batch and real-time data pipelines.
- Advanced SQL development and query optimization skills.
- Experience with data warehousing, ETL/ELT, and modern data architecture patterns.
- Strong understanding of cloud-native data engineering practices.
- Preferred experience with Vertex AI, Google AI services, AI/ML data platforms, Gemini models, agentic AI frameworks, prompt engineering, RAG architectures, vector search, Dataproc, Spark, PySpark, event-driven architectures, Terraform, infrastructure as code, cloud cost optimization, and FinOps.
- Financial Services industry experience is preferred.
- Google Cloud Professional Data Engineer Certification is preferred.
Benefits
- Comprehensive benefits package for regular, full-time employees, with eligibility determined by local policy.
- Paid time off, including 12-25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Base compensation is listed at $115,000-$145,000 per year, with possible additional variable compensation, bonuses, or commissions.
- The posting requires U.S. work authorization without current or future sponsorship and does not offer visa sponsorship, transfers, or C2C arrangements.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.