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

📌 Data Engineer (India)
🏢 Rupa Career Solutions
📍 India