Senior Data Engineer- Azure

6 - 10 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Full Time

Job Description

Role Overview: XenonStack is a leading Data and AI Foundry specializing in Agentic Systems, dedicated to providing enterprises with real-time and intelligent business insights. As a Senior Data Engineer at XenonStack, specifically focusing on Azure, you will play a crucial role in designing and scaling cloud-native data platforms to facilitate enterprise AI adoption. Your responsibilities will involve leveraging Microsoft's data ecosystem to enable RAG pipelines, AI observability, and agent-ready data systems. Key Responsibilities: - Architect data pipelines utilizing Azure Data Factory, Synapse Analytics, and Databricks on Azure. - Oversee data lakes with ADLS Gen2 and enhance data warehouse workloads. - Implement streaming solutions using Event Hubs, Kafka, or Azure Stream Analytics. - Develop governance and lineage frameworks with Purview. - Collaborate with product teams to provide AI-ready datasets for Vision AI and AgentOps workflows. - Ensure scalability, reliability, and compliance with Azure Well-Architected practices. Qualifications Required: - 5-8 years of experience in data engineering with a minimum of 3 years in Azure data services. - Proficient in Azure Data Factory, Synapse Analytics, Databricks. - Strong expertise in PySpark, SQL, Python/Scala. - Familiarity with Azure DevOps, CI/CD, and Infrastructure-as-Code (Bicep, Terraform). - Knowledge of ML/AI data workflows and compliance-driven environments. - Azure Data Engineer Associate or Architect certification preferred. Company Additional Details: XenonStack is on a mission to accelerate the world's transition to AI + Human Intelligence by constructing scalable, reliable, and intelligent data platforms. The company's values including Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession, foster a culture of excellence, innovation, and accountability. By joining XenonStack, you will have the opportunity to work with global enterprises, shape the future of intelligent systems, and contribute to the responsible AI-first approach.,

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