Implementation of Azure Synapse Tool Stack into Client IT landscape
• Integration to other sources, feeders, regulatory systems
• Customer consulting to ensure e2e use case coverage with the given tool landscape in an cost efficient application design
• Infrastructure & Components: Comprehensive understanding of Azure infrastructure, including storage accounts, virtual networks, and security configurations.
Experience in deploying and managing Synapse components such as SQL pools, Spark pools, and Data Explorer pools.
• Azure Synapse Analytics:
• Proficient in leveraging/configuring/deploying/maintaining Azure Synapse for data integration, big data analytics, and data warehousing.
• Skilled in configuring Synapse workspaces, managing data pipelines, and optimizing query performance.
• MLOps using Azure Machine Learning:
• Capable of deploying machine learning models, automating ML workflows, and monitoring model performance (no practical experience with ML needed, team is only providing the infrastructure for the ML models)
• Azure Event Hubs: In-depth knowledge of Azure Event Hubs for real-time data ingestion and stream processing. Skilled in configuring event hubs, managing event streams, and integrating with other Azure services for real-time analytics.
• Troubleshooting & Optimization: Strong problem-solving skills with a focus on identifying and resolving issues within the Azure Synapse environment. Proficient in performance tuning, error handling, and ensuring high availability and reliability of Synapse-based applications
Inglés: B2