
Data Engineer
2 days ago
As a seasoned Data Architect, you will play a pivotal role in designing and implementing cutting-edge data solutions that drive business growth and innovation. Our ideal candidate possesses a unique blend of technical expertise and strategic vision to lead projects from concept to delivery.
Main Responsibilities:
- Partner with cross-functional teams to craft comprehensive data strategies that align with business objectives.
- Lead the development and implementation of scalable data architectures, ensuring seamless integration with existing systems.
- Collaborate with stakeholders to identify opportunities for process improvement and automation, driving increased efficiency and productivity.
- Mentor and guide team members in their professional development, fostering a culture of continuous learning and growth.
Requirements:
- A minimum of 12 years of experience in data architecture, with a strong background in Azure ecosystem.
- Proven expertise in cloud-based data engineering, including Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics.
- Hands-on experience with machine learning and AI, specifically OpenAI on Azure, Cognitive Services, and Prompt Engineering.
- Excellent communication and interpersonal skills, with the ability to distill complex technical concepts into clear, actionable insights.
Azure Tech Stack Expertise:
- Data Engineering: Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Cosmos DB.
- Machine Learning & AI: Azure Machine Learning, OpenAI on Azure, Cognitive Services, Prompt Engineering, Model Fine-tuning, LLMOps.
- Orchestration & Workflow: Azure Data Factory, Azure Functions, Event Grid.
- DevOps & CI/CD: Azure DevOps, Github Actions, MLFlow, DVC.
- Monitoring & Security: Azure Monitor, Log Analytics, Role-Based Access Control.
Become a key member of our team and shape the future of data-driven decision making.
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