Dear Candidate,
Greetings from Honeybee Tech Solutions
We have an urgent requirement for an Azure Data Engineer with 57 years of relevant experience for our client Atlas Copco.
Position Details
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
Key Skills Required
- 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
Good to Have
- Logic Apps
- Azure Function Apps
- Stream Analytics
- Microsoft Purview
- Terraform / ARM Templates
- Azure Monitoring & Alerting
- Machine Learning experience
Key Responsibilities
- 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.
Candidate Requirements
- Strong hands-on experience with Azure Data Services.
- Excellent knowledge of SQL, Python, and PySpark.
- Robust understanding of data warehouse and data lake concepts.
- Good communication and collaboration skills.
- Self-starter with strong problem-solving abilities.
Interested candidates can share their updated CV at:
[email protected]
Please mention “Azure Data Engineer – Atlas Copco” in the subject line.
Best Regards,
Deva P
Talent A
📌 Senior Azure Data Engineer (Pune)
🏢 Honeybee Tech Solutions
📍 Pune