Description

Job Responsibilities include:

Lead and manage data-focused projects, ensuring timely delivery of data engineering, reporting, and analytics initiatives.

Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure services, and Microsoft Fabric.

Build and optimize ETL processes, SQL stored procedures, data models, and data transformations for enterprise data solutions.

Develop and support Power BI dashboards, reports, and analytics models to provide actionable business insights.

Collaborate with cross-functional teams to ensure data quality, security, compliance, and alignment with business requirements.

Utilize Python/PySpark and Azure technologies to improve data processing performance, reliability, and overall platform efficiency.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Data Engineering, Information Systems, or a related field.

8-10 years of experience in Data Engineering, Data Management, Business Intelligence, and Azure-based data solutions.

Strong hands-on experience with SQL Server, Azure Data Factory (ADF), Microsoft Fabric, Power BI, Python/PySpark, and Azure data services.

Proven expertise in designing scalable data pipelines, ETL workflows, data modeling, reporting solutions, and enterprise data analytics platforms

Key Skills

Education

Any Graduate