Senior Data Engineer for Transformative Data Solutions
Narvar
About the role
About
Become a key innovator in data engineering as a Senior Data Engineer. Utilize your strong SQL and Python skills to build and enhance data infrastructure in a collaborative remote environment. This role focuses on designing and operating data pipelines that process extensive transactional data. You'll play a critical role in improving data quality, evolving the data platform, and creating transformative analytics products for merchants. Cross-functional collaboration will ensure that architecture decisions support business goals and enhance data usability. Leverage your expertise in data engineering to elevate merchant experiences while optimizing analytics and enhancing data-driven decisions.
Responsibilities
- Build and manage data pipelines for high-volume transactions
- Lead data models that drive merchant analytics
- Maintain embedded analytics infrastructure for effective user interaction
- Advance data platform features on GCP, including data quality measures
- Work collaboratively to contribute to technical architecture
Requirements
- 5–8 years in data engineering roles
- Strong SQL and Python programming capabilities
- Experience with GCP and cloud data architectures
- Deep knowledge of data modeling principles
- Ability to communicate technical concepts clearly
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Requirements
- Strong SQL and Python programming capabilities
- Experience with GCP and cloud data architectures
- Deep knowledge of data modeling principles
- Ability to communicate technical concepts clearly
Responsibilities
- Build and manage data pipelines for high-volume transactions
- Lead data models that drive merchant analytics
- Maintain embedded analytics infrastructure for effective user interaction
- Advance data platform features on GCP, including data quality measures
- Work collaboratively to contribute to technical architecture
Skills
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