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Job Description
- Identify the underlying need, process datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed.
- Design, build, and scale innovative data products, including self-serve tools, and automated pipelines.
- Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliability monitoring.
- Operate with a high degree of autonomy, owning data engineering projects from initial conception to landing and impact.
- Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication.