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To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions.
• Azure Elasticsearch cluster architecture (sharding, node roles, capacity planning)
• Python, Java, or Node.js for pipeline/integration work
• Query DSL (bool, aggregations, nested queries) & relevance tuning
• Index design (mappings, analyzers, tokenizers)
• Performance tuning (slow queries, hot shards, heap pressure)
• Azure deployment experience (Elasticsearch on Azure or self-managed on AKS/VMs)
• Azure Monitor/Log Analytics/ Logstash
• Azure Event hubs / Azure Data factory
• High level knowledge on Databricks