Azure Data Engineer

Key Skills: Azure ADF, Azure Databricks, Azure, Databricks, Azure AD, Azure Synapse, ETL, Azure SQL

Roles and Responsibilities:

• Design and build scalable data pipelines for batch and streaming workloads on Azure.
• Develop data ingestion, transformation, and integration workflows using Azure Data Factory and Databricks.
• Implement secure data processing solutions across structured, semi-structured, and unstructured sources.
• Build and support data solutions using Azure Functions, Logic Apps, and Azure DevOps release pipelines.
• Partner with analytics and engineering teams to deliver reliable data models and curated datasets.

Skills Required:

• 3.9 to 16 years of relevant experience in data engineering or cloud data platform delivery.
• Hands-on experience with Azure, Azure Databricks, Databricks, Azure Data Factory, PySpark, and SQL.
• Strong architecture experience designing secure, scalable data platforms and integration patterns on Azure.
• Experience building batch and real-time data processing solutions with performance and reliability in mind.
• Experience with Azure Functions, Logic Apps, GitHub, and Azure DevOps for code management and delivery.

Good to Have:

• Azure Synapse, Azure SQL, ETL/ELT, Data Modeling, Azure Data Lake, Key Vault, Event Hubs, Stream Analytics, Azure Monitor, and Log Analytics.

Education: Any Graduation or Any Post Graduation.