5 часов назад
Senior Data Engineer Consultant (GCP)
90 - 110$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer Consultant (GCP): Designing and optimizing scalable data platforms and batch and real-time pipelines for analytics, business intelligence, and AI initiatives with an accent on GCP, BigQuery, PySpark, streaming, and high-volume data processing. Focus on building reliable cloud architectures, improving data quality and performance, integrating AI-enabled workflows, and leading complex engineering projects.
Location: San Francisco Bay, California, United States; open to onsite project work
Pay rate: $90–$110 per hour
Company
provides on-demand talent, consulting, and outsourced services through a global network of more than 2,600 experts.
What you will do
- Design, build, and optimize scalable enterprise data platforms and batch and real-time pipelines.
- Develop cloud data solutions on GCP, including BigQuery, Dataflow, Pub/Sub, and GCS, and modernize legacy data platforms.
- Create dimensional models and analytical data layers for reporting, business intelligence, and AI use cases.
- Improve data quality, observability, resiliency, monitoring, query performance, and ETL/ELT processing.
- Integrate AI tools into engineering workflows, pipeline management, automation, and remediation processes.
- Lead small to medium-sized projects, mentor data engineers, and partner with technical and business stakeholders from requirements through deployment.
Requirements
- 10+ years of experience in data engineering, data warehousing, or related disciplines.
- Strong hands-on experience with Python, SQL, GCP, and BigQuery.
- Experience with PySpark, Apache Airflow or GCP Composer, Dataflow, Pub/Sub, or Kafka.
- Strong knowledge of dimensional modeling, data warehousing, ETL/ELT, data architecture, and high-volume data performance optimization.
- Experience delivering data solutions end-to-end and leading technical projects or small to medium-sized engineering teams.
- Strong communication skills for collaboration with technical and business stakeholders.
Nice to have
- Google Cloud Professional Data Engineer certification.
- Experience with AI/ML data products, AI-enabled workflows, or AI development tools such as Claude Code, OpenAI Codex, or GitHub Copilot.
- Experience with Looker, QlikView, SAP BusinessObjects, Oracle/Exadata, or legacy data warehouse modernization.
- Experience with CI/CD tools, Agile/Scrum, and automated data quality, observability, or pipeline governance frameworks.
Culture & Benefits
- Medical, dental, vision, life, and disability insurance.
- 401(k) savings plan and employee stock purchase plan.
- Paid time off and paid sick time where legally required.
- Professional development program and continuous learning opportunities.
- Engagement duration of 6–12 months.
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