Found Description
- Lead and manage large-scale Data Engineering and Data Modernization projects.
- Drive end-to-end delivery of Data Lake build and migration initiatives.
- Lead PySpark migration and optimization projects, ensuring performance and scalability.
- Design and implement modern data architectures, including Data Lakes, Data Warehouses, and Lakehouse solutions.
- Collaborate with business stakeholders, architects, and engineering teams to define data strategies and roadmaps.
- Provide technical leadership and mentorship to Data Engineers and Developers.
- Ensure best practices around:
- Data governance
- Data quality
- Security and compliance
- Performance optimization
- Lead data platform modernization initiatives across cloud environments.
- Review solution designs, architecture documents, and implementation approaches. ...
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