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.
Solid 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.

Valuable 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.

📌 Azure Data Engineer Bhubaneswar (India)
🏢 Careernet
📍 India