Senior Azure Data Engineer

Azure Data Engineer

• Role:

  Azure Data Engineer

• Client:

  Atlas Copco

• Experience:

  5-7 Years

• Location:

  Pune

• Work Mode:

  Hybrid

• Employment Type:

  Contractual

• Interview Rounds:

  2 Technical + HR

• Interview Mode:

  Virtual / Face-to-Face

• Azure Data Engineering
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Azure Databricks
• Azure SQL Database
• Python PySpark
• Advanced SQL
• ETL / Data Integration
• Data Warehouse Data Lake
• Snowflake / SAP BW
• Data Modelling
• Azure DevOps

• Logic Apps
• Azure Function Apps
• Stream Analytics
• Microsoft Purview
• Terraform / ARM Templates
• Azure Monitoring Alerting
• Machine Learning experience

• Develop and deploy scalable data solutions on Azure.
• Build and maintain ETL/ELT data pipelines from multiple sources.
• Work with cross-functional teams to understand data requirements.
• Design and implement conceptual, logical, and physical data models.
• Ensure data quality, security, governance, and compliance.
• Optimize data pipelines and data models for performance.
• Maintain technical documentation for data pipelines and solutions.
• Work with Azure Data Factory, Databricks, Synapse, ADLS, and other Azure services.
• Support enterprise data strategy and analytics requirements.

• Strong hands-on experience with Azure Data Services.
• Excellent knowledge of SQL, Python, and PySpark.
• Strong understanding of data warehouse and data lake concepts.
• Good communication and collaboration skills.
• Self-starter with strong problem-solving abilities.