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Azure Data Engineer

Trigent Software Private Limited

Full time On-site
Location
India
Work mode
On-site
Salary
₹1–4 LPA
Posted 2 days ago

Job description

Key responsibilities
Design and build scalable Azure data pipelines using ADF, Synapse and
Microsoft Fabric
Develop modern Lakehouse architecture and AI-ready data platforms
Engineer solutions for structured, semi-structured and unstructured data
Work with Azure Data Lake, Cosmos DB and Azure SQL/Synapse
Support AI use cases including RAG, vector search and Azure AI Search
Collaborate with business stakeholders to translate requirements into data
solutions
Deliver production-ready, high-performance data engineering solutions
Key experience required
Strong experience as an Azure Data Engineer
Hands-on expertise with ADF, Synapse, Microsoft Fabric and ADLS Gen2
Experience with Azure Cosmos DB and NoSQL data modelling
Exposure to AI/GenAI data pipelines, including RAG, embeddings or vector
search
Strong Python and SQL development skills
Experience with data discovery, profiling and data quality frameworks
Knowledge of CI/CD and Azure DevOps practices OR
Key responsibilities
Design and build scalable Azure data pipelines using ADF, Synapse and
Microsoft Fabric
Develop modern Lakehouse architecture and AI-ready data platforms
Engineer solutions for structured, semi-structured and unstructured data
Work with Azure Data Lake, Cosmos DB and Azure SQL/Synapse
Support AI use cases including RAG, vector search and Azure AI Search
Collaborate with business stakeholders to translate requirements into data
solutions
Deliver production-ready, high-performance data engineering solutions
Key experience required
Strong experience as an Azure Data Engineer
Hands-on expertise with ADF, Synapse, Microsoft Fabric and ADLS Gen2
Experience with Azure Cosmos DB and NoSQL data modelling
Exposure to AI/GenAI data pipelines, including RAG, embeddings or vector
search
Strong Python and SQL development skills
Experience with data discovery, profiling and data quality frameworks
Knowledge of CI/CD and Azure DevOps practices

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