Senior Azure Data Engineer
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Job Summary
Dear Candidate, Greetings from Honeybee Tech Solutions! We have an urgent requirement for an Azure Data Engineer with 5-7 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
- 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.