Scalable Data Pipeline Developer
3 weeks ago
We are seeking a skilled GCP Data Engineer to join our team. As a member of our team, you will have the opportunity to work on cutting-edge projects and technologies, collaborate with cross-functional teams, and contribute to the design, development, and deployment of large-scale data solutions on GCP.
Responsibilities
- Design and build scalable data ingestion pipelines using GCP services such as Dataflow, DataProc, and Cloud Composer.
- Develop and deploy data processing workflows using Python, Scala, and Notebooks.
- Collaborate with business partners to gather and document requirements and develop data solutions that meet business needs.
- Participate in peer review and provide feedback to engineers on development best practices and technical requirements.
Requirements
- 6+ years of experience in data engineering with an emphasis on data warehousing and analytics.
- 4+ years of experience with one of the leading public clouds (GCP).
- 4+ years of experience in design and build of scalable data pipelines that deal with extraction, transformation, and loading.
- Strong understanding of relational and dimensional data modeling.
Benefits
- Competitive salary: $180,000 - $250,000 per year, depending on experience.
- Opportunity to work on cutting-edge projects and technologies.
- Collaborative and dynamic work environment.
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