7 days ago
Base Salary
$115k - $145k/yr
Responsibilities
- Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data.
- Build scalable batch, streaming, and event-driven data processing solutions on Google Cloud.
- Develop data ingestion frameworks and data lake, lakehouse, warehouse, and analytical data models.
- Create Python-based solutions and automate orchestration and workflow management with Cloud Composer and Airflow.
- Implement CI/CD and deployment automation while applying testing, monitoring, and observability practices.
- Optimize pipeline and query performance, scalability, reliability, security, and cost efficiency.
- Partner with business stakeholders, analytics teams, data scientists, and engineers to deliver data solutions.
- Troubleshoot production issues and conduct 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 and modern data architectures.
- Advanced SQL development and query optimization skills.
- Experience with data warehousing, ETL/ELT, and cloud-native data engineering practices.
- Preferred qualifications include Vertex AI, Google AI services, AI/ML data platforms, Gemini, LLMs, GenAI, agentic AI, prompt engineering, RAG, vector search, Spark/PySpark, event-driven architectures, Terraform, infrastructure as code, FinOps, and Google Cloud Professional Data Engineer Certification.
- Financial Services industry experience is preferred.
- Candidates must be authorized to work in the United States without current or future sponsorship.
Benefits
- Comprehensive benefits package for regular full-time employees, including paid time off, 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. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Additional benefits may be provided according to local policy and eligibility.
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.