
Chief Data Engineering Specialist
2 days ago
Key Job Responsibilities:
- Present findings and recommendations to senior leadership.
- Implement robust, production-grade data platforms on GCP.
Technical Requirements:
- 8 – 12 years of experience.
- Expert-level proficiency in programming, automation, and orchestration: Mastery of Python, and workflow orchestration tools.
- Deep understanding of data storage, processing, and governance: Advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.
- Proven ability to build and deploy scalable data systems.
Key Skills and Qualifications:
- Lead the design and implementation of enterprise data platforms: Architect and oversee scalable, reliable, and secure data infrastructure for large organizations.
- Drive innovation and adoption of new technologies: Research and integrate cutting-edge tools and frameworks for data ingestion, processing, and governance.
- Mentor junior and mid-level data engineers: Provide technical leadership, code reviews, and career development support.
- Collaborate with stakeholders across teams: Align data engineering initiatives with business objectives.
- Establish and enforce data engineering best practices: Define standards for pipeline architecture, data quality, security, and compliance.
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