Azure Data Engineer (Remote/W2)

Role: Azure Data EngineerLocation: RemoteJob SummaryWe are seeking a highly skilled Azure Data Engineer with strong expertise in Databricks, Azure data services, and modern data engineering practices. The ideal candidate will have hands-on experience designing, building, and optimizing scalable data pipelines and enterprise-grade lakehouse architectures in hybrid cloud environments.Key ResponsibilitiesDesign, build, and orchestrate scalable data pipelines using Azure-native services.Develop and optimize batch and near real-time data processing solutions using Spark and Databricks.Implement and manage enterprise-grade Lakehouse architectures (Medallion architecture).Perform data processing, validation, and automation using Python (PySpark, Pandas, NumPy).Optimize performance of large-scale data systems, including Spark tuning and query optimization.Work with CDC (Change Data Capture) pipelines and large-volume data ingestion.Collaborate with cross-functional teams to deliver secure, scalable, and high-performance data platforms.Implement CI/CD pipelines and DevOps best practices for data engineering workflows.Required Skills & ExperienceStrong experience with Azure Databricks, including notebooks, clusters, and Delta Lake.Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration.Proficiency in Python (PySpark, Pandas, NumPy) and SQL.Experience with Spark SQL, performance tuning, and distributed data processing.Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.Must have Experience with Tableau and Power BIKnowledge of dimensional data modeling and analytics solutions.