Responsibilities:
1. Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks/ Fabric. The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL.
2. Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
3. Oversee the end-to-end implementation of data solutions ensuring alignment with business requirements and best practices.
4. Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools.
5. Integrate Azure Databricks with other Azure services (e.g. Azure Data Lake Azure Synapse Azure Data Factory) and on-premise systems.
6. Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement.
7. Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards.
8. Ensure best practices are followed in terms of code quality data security and scalability.
9. Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
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