[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Capgemini is seeking an experienced Data Engineer with a strong background in Google Cloud Platform (GCP), particularly BigQuery, and expertise in DBT for data transformation and modeling. The ideal candidate will possess advanced SQL skills and a solid understanding of data warehousing principles, along with leadership experience and the ability to collaborate effectively across technical and business teams.
Responsibilities
- Design, build, and maintain scalable, reliable data pipelines within the Google Cloud Platform ecosystem, with a primary focus on BigQuery
- Develop, manage, and optimize DBT models to transform raw data into clean, validated, and well-documented datasets
- Write and optimize complex SQL queries for data extraction, transformation, reporting, and analytics
- Architect and support enterprise-scale data warehousing solutions that prioritize performance, scalability, and reliability
- Partner closely with data analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions
- Monitor, troubleshoot, and resolve data pipeline performance issues while ensuring data quality and integrity
- Automate operational processes and data workflows using Python where appropriate
- Implement and maintain data governance, security, and compliance best practices
- Provide technical leadership, mentorship, and guidance to team members and project stakeholders
Skills
- Demonstrated leadership experience in data engineering or related technical initiatives
- Bachelor's degree in Computer Science, Information Systems, or a related discipline
- 6-8 years of experience in Data Engineering or a comparable role
- Expert-level SQL skills with the ability to develop efficient, scalable, and complex queries
- Strong proficiency in DBT for data modeling, transformation, testing, and documentation
- Hands-on experience with BigQuery and other GCP data services
- Solid understanding of modern data warehousing concepts, architectures, and best practices
- Basic to intermediate proficiency in Python for scripting, automation, and workflow support
- Experience with version control systems such as Git
- Excellent analytical, problem-solving, communication, and stakeholder management skills
Benefits
- Medical
- Dental
- Vision
- Retirement benefits
Company Overview
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