Senior Data Engineer - GCP
Capgemini•New York, NY
•$115,000 - $125,000
About The Position
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation.
Requirements
- Experience with building scalable pipelines on Google Cloud Platform
- Strong SQL skills
- Solid understanding of data warehouse concepts
- Proficiency in Python, Pyspark or other programming languages
- Understanding of CES and call transcript data.
Responsibilities
- Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
- Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
- Write complex and optimized SQL queries for data extraction, transformation, and analysis.
- Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Monitor and troubleshoot data pipeline performance and data quality issues.
- Automate data workflows and tasks using Python scripts where necessary.
- Ensure data governance, security, and compliance standards are met.
Benefits
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
