Description

You will build and maintain scalable data pipelines that transform raw data for analytics.

Responsibilities

• Design, construct, and maintain scalable ETL pipelines using Azure Data Factory.
• Collaborate with technical and business stakeholders to define data requirements.
• Analyze data patterns and apply data modeling best practices, including Star Schema design.
• Implement metadata management and ensure data quality through unit testing.
• Troubleshoot and resolve issues related to data flow, integration, and performance.

Required Skills

• 5+ years of hands-on experience in Data Engineering projects.
• Proficiency with ETL Pipelines and end-to-end data transformation processes.
• Expertise in SQL, including performance tuning, query optimization, and indexing.
• Experience with Azure Data Factory and Azure Storage Accounts.
• Strong capability in Data Modeling, specifically Star Schema design.
• Knowledge of conceptual and logical data models.
• Experience with Metadata Management and data warehousing concepts.

Key Skills

Education

Any Graduate