01Overview
Data Engineer Analytics & BI
Experience: 610 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.
Compensation: 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
