Data Engineer

Role: Azure Data Engineer

Experience: 6–8 Years

Location - Pan India

Open Positions: 2

✅ Key Responsibilities

• Ingest data from databases, files, APIs, and streaming sources into Azure using tools like Azure Data Factory.
• Perform data transformation and large-scale processing using Azure Databricks / Azure Synapse (Spark).
• Manage and store data using Azure SQL DB, Azure Data Lake, Azure Cosmos DB, and Azure Blob Storage.
• Build and maintain data warehousing solutions using Azure Synapse Analytics.
• Collaborate with analytics teams to design data models for reporting and analysis.

✅ Must‑Have Skills

• Strong experience in Azure Data Engineering tools & services.
• Hands-on experience in ETL pipelines, data integration, and data transformation.
• Knowledge of big data processing, Spark, and distributed compute.
• Experience with data storage and management in Azure.
• Understanding of data modeling and analytics workflows.

✅ Good-to-Have

• Experience with Azure DevOps, CI/CD, monitoring, and automation.
• Knowledge of Azure Monitor and Azure Automation.