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Role Purpose/Business Unit:
The primary purpose of this, Senior Data Engineer role, is to design, develop, and maintain robust, scalable, and secure data and analytics infrastructure that supports batch and real-time data processing at scale. This includes managing on-premises big data platforms, edge applications, and cloud deployments to ensure seamless integration and optimal performance across all environments. The role is crucial in driving innovation, ensuring data integrity, and delivering actionable insights that empower the organization to make data-driven decisions.
Key Objectives
1. Data Pipeline Excellence: Build and maintain efficient data pipelines that handle large volumes of data with high reliability and performance.
2. Edge and Cloud Integration: Seamlessly integrate edge applications and cloud services to provide real-time data access and machine learning capabilities.
3. Innovation and Improvement: Continuously seek opportunities to enhance the data infrastructure, adopt new technologies, and improve processes.
4. Collaboration and Leadership: Work closely with cross-functional teams to understand their data needs and provide technical leadership and guidance.
Your responsibilities will include:
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