Azure Data Engineer

✅ Lead architectural design and development of Azure-based Data & Analytics solutions.
✅ Collaborate with technical and non-technical stakeholders for feasible data solutions.
✅ Drive interactive design sessions and engage with stakeholders at all levels.
✅ Ensure performance, scalability, reliability, and availability of system components.
✅ Explore latest Azure advancements for innovation and collaboration.
✅ Formulate business cases for transitioning to Azure/Power Platform based solutions.
✅ Provide post-production support and enhancements.
✅ Document design decisions and create operation manuals.

✅ Bachelor’s degree in computer science, IT, Engineering, Mathematics, Statistics or equivalent.
✅ Minimum 3 years of technical experience in related field.
✅ Strong understanding of data engineering principles and practices.
✅ Deep experience with Azure Synapse, Data Factory, Databricks, Power Platform etc.
✅ Ability to deliver end to end reporting solutions on the Microsoft Power Platform
✅ Expertise in designing, building, and maintaining data pipelines.
✅ Sound experience in EDW implementation and data modeling.
✅ Familiarity with DevOps practices and version control (e.g., Git).
✅ Proficiency in Python for data processing and automation.
✅ Forward-thinking mindset for innovation and growth.

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