Principal Data Engineer (GCP & BigQuery)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Data Engineer (GCP & BigQuery): Designing and owning end-to-end data pipelines from ingestion to delivery with an accent on cloud data architecture and legacy system integration. Focus on architecting scalable solutions for petabyte-scale datasets and optimizing query performance using advanced SQL and GCP tools.
Location: Must be based in the United States and authorized to work without sponsorship
Company
is a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize in the age of AI.
What you will do
- Own end-to-end data pipelines from ingestion and transformation to validation and delivery.
- Architect scalable data models, partitioning, and clustering strategies for datasets ranging from terabytes to petabytes.
- Make architectural decisions within GCP and BigQuery, focusing on partitioning, clustering, and cost/slot management.
- Develop and maintain complex queries and reporting within legacy enterprise environments using SQL Server, stored procedures, and SSRS.
- Build automated data monitoring, reconciliation, and quality-assurance frameworks to ensure data integrity.
- Integrate and champion the use of AI tools (e.g., Claude) to streamline development and improve delivery quality.
Requirements
- Must be authorized to work in the U.S. without sponsorship.
- Advanced hands-on expertise in Google Cloud Platform (GCP) and BigQuery.
- Strong proficiency in advanced SQL for complex query development and performance optimization at scale.
- Active experience working with legacy systems, specifically SQL Server and SSRS.
- Intermediate-level Python for automation and data processing.
- Experience with data visualization tools such as Power BI, Looker, or Tableau.
Culture & Benefits
- Remote or hybrid work options.
- Matching 401(k) plan and substantial PTO.
- Investment in professional growth through training, mentorship, and industry certifications.
- Inclusive culture with recognition programs and an AI Innovators Program.
- Tuition reimbursement.
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