Data Engineer

• 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 on scalability, 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