Area(s) of responsibility Job Description: Cloud Data Platform Engineer / SRE (Azure | Databricks | Fabric | Unity Catalog) _ Key Responsibilities 1. Cloud Platform Operations • Manage and optimize Azure workloads—ADLS, VNets, Key Vault, ADF, Synapse, Fabric,
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans
Key Responsibilities 1. Solution Architecture & Strategy Define and lead end-to-end architecture for enterprise GenAI platforms and use cases Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks) Establish reference architectures, design patterns, and reusable frameworks Lead
Key Responsibilities 1. Solution Architecture & Technical Leadership Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows) Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks) Act as the technical anchor for GenAI
Key Responsibilities Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function
Key Responsibilities Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation Implement prompt engineering techniques
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