We have an urgent requirement for an Azure Data Engineer with 3+ years of experience for our client Atlas Copco.

Must-Have Skills
4 to 7 years of relevant experience in Azure Data Engineering
Solid experience with Azure Data Services
Hands-on experience with ETL technologies and techniques
Robust hands-on experience with Python
Advanced SQL skills
Strong knowledge of Python & PySpark
Experience with Data Warehouse Design Concepts
Hands-on experience with:
Azure Data Lake Storage (ADLS)
Azure Synapse Analytics
Azure Data Factory (ADF)
Azure Databricks
Azure SQL Database
Experience with Data Warehouse, Data Lake, and Big Data Platform technologies
Good understanding of data modelling, including conceptual, logical, and physical data models
Experience optimizing data pipelines for performance
Robust communication and collaboration skills

Good-to-Have Skills
Azure Logic Apps
Azure Functions
Azure Stream Analytics
Microsoft Purview
Machine Learning project exposure
Terraform
ARM Templates
Azure DevOps
Azure Monitoring & Alerting

Key Responsibilities




Develop and deploy scalable data solutions on the Azure Cloud Platform
Build and maintain ETL/ELT data pipelines from various data sources
Work with Azure Data Factory, Databricks, Synapse, ADLS, and Azure SQL
Collaborate with business and technical teams to understand data requirements
Translate business requirements into production-ready data solutions
Design and maintain data models based on business requirements
Ensure data quality, security, governance, and compliance
Optimize data pipelines and database designs for performance
Maintain clear technical documentation for data pipelines and solutions
Troubleshoot and resolve data performance and integration issues

Role Summary

The Azure Data Engineer will be responsible for building and maintaining scalable data pipelines and integration solutions on the Azure Data Platform. The role involves delivering secure, reliable, and high-performance data solutions using Azure Data Factory, Azure Databricks, Azure Synapse, ADLS, and Azure SQL, while ensuring data quality, governance, and performance.

📌 Azure Data Engineer Pune
🏢 Honeybee Tech Solutions
📍 Pune