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Lead Data Engineer
4 weeks ago
Responsibilities: Leadership
• Design data solutions and lead data engineering teams.
Data Management
• Establish protocols for data quality, security, and privacy.
Data Pipeline Development
• Design and develop data pipelines ensuring integrity and quality.
Data Modeling
• Implement data models for efficient querying and analysis.
Performance Optimization
• Optimize data components to reduce latency and costs.
Automation
• Automate workflows, validation, and monitoring processes.
Collaboration
• Work with analysts, scientists, engineers, and stakeholders to meet data needs.
Documentation
• Maintain documentation for data pipelines and architecture.
Essential Knowledge & Experience: • Strong background in data engineering or related fields.
• Experience with Google Cloud Platform and mentoring teams.
• Multi-cloud environment experience.
• Strong data architecture and programming skills (Python, SQL).
• Proven experience in data platforms, BI environments, and data modeling.
Desirable Knowledge & Experience: • Experience with Microsoft Azure and multi-cloud setups.
• Knowledge of cloud data management frameworks (e.g., CDMC).
• Familiarity with data governance tools (e.g., Alation).
• Banking sector experience.
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