Related skills
sql gcp scala dbt data modeling📋 Description
- Build and evolve data products and pipelines across platforms.
- Contribute to AI tooling to improve data systems.
- Design and maintain scalable data pipelines and models for analytics.
- Improve data systems with strong standards for performance & reliability.
- Develop tooling and automation for accurate data.
- Collaborate with data scientists, PMs, and engineers to solve problems.
- Mentor engineers through code reviews and knowledge sharing.
🎯 Requirements
- Strong experience building scalable data pipelines in production.
- Comfortable with data modeling, transformation, testing, and metrics.
- Experience with SQL and languages like Scala.
- Experience with modern tooling like dbt.
- Cloud-based data platforms (ideally GCP) with performance vs cost trade-offs.
- Care about data quality, governance, reliability.
- Curious about the business/product reality behind data.
- Collaborate with cross-functional partners and explain concepts clearly.
- Comfortable navigating ambiguity and practical solutions.
- Breadth of work; may have engineering consulting background.
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