Data Engineer, Dhanbad

• Design and develop scalable data pipelines using Microsoft Azure stack • Build and manage data workflows using Azure Data Factory and Databricks • Process streaming and batch data using Spark clusters and Databricks services • Develop and maintain data models for structured, semi-structured, and unstructured data• Work with Azure services such as Blob Storage, Event Grid, Azure SQL, Cosmos DB, Azure Functions, and Synapse • Implement ETL/ELT pipelines and ensure data quality and lineage • Work on data virtualization using Denodo VDB and manage views • Design cloud-ready architectures focusing onscalability, resilience, and performance• Apply big data and NoSQL concepts for modern data solutions • Ensure compliance with cloud security and identity best practices • Collaborate with teams to build domain-driven and microservices-based architectures