Found Description
Responsibilities
- Lead the development and maintenance of scalable, reliable data pipelines and data processing frameworks supporting a variety of business and product use cases.
- Ensure data quality, integrity, and readiness by establishing and maintaining standards, validation processes, and monitoring frameworks.
- Collaborate with cross‑functional teams including Data Science, Product, Analytics, Infrastructure, and Engineering to deliver end‑to‑end data solutions.
- Design, develop, and optimize ETL/ELT processes with a focus on automation, scalability, code quality, and operational excellence.
- Evaluate and integrate emerging technologies to enhance data engineering capabilities and support evolving business needs.
- Deliver high‑quality solutions while effectively managing multiple priorities and timelines.
- Serve as a subject matter expert in data modeling, large‑scale data processing, pipeline optimization...