Data Engineer – Analytics & BI
Experience: 6–10 Years
Key Skills
✅ Azure Data Factory (ADF) – ETL/ELT Pipelines
✅ Azure Synapse Analytics / Azure Databricks / Microsoft Fabric
✅ SQL Server (Stored Procedures, Views, Performance Tuning)
✅ Power BI Dashboard Development & Reporting
✅ PowerShell Automation
✅ Power Automate Workflows
✅ Python & PySpark for Data Engineering and Data Transformation
Responsibilities
- Design and develop scalable ETL/ELT pipelines using Azure Data Factory.
- Build enterprise-grade analytics solutions using Azure Synapse, Databricks, or Microsoft Fabric.
- Develop and optimize SQL scripts, stored procedures, and views.
- Create insightful Power BI dashboards and reports.
- Automate operational processes using PowerShell and Power Automate.
- Develop data transformation and orchestration workflows using Python/PySpark.
- Collaborate with business and technical teams to deliver reliable data solutions.
Pay: ₹511,040.69 - ₹1,873,124.22 per year
Experience:
- Data Engineer: 6 years (Required)
- Analytics & BI: 3 years (Required)
- Azure Data Factory: 1 year (Preferred)
Work Location: Remote
