Description

You will design and implement data architecture to support business intelligence and analytics reporting.

Responsibilities

• Create and implement data modeling and architecture standards for advanced analytics.
• Collaborate with analysts and stakeholders to define data requirements and deliver data models.
• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Azure Synapse Analytics, and Fabric.
• Optimize and manage data storage solutions including Azure SQL Database and Azure Blob Storage.
• Monitor and troubleshoot data pipelines and workflows to ensure performance.

Required Skills

• 5+ years of experience as an Analytics Engineer or in a similar role.
• Proven experience developing data architecture within cloud-based solutions such as Azure, Snowflake, AWS, or Google Cloud Platform.
• Hands-on experience with Microsoft Azure, specifically Azure SQL Database and Azure Synapse Analytics.
• Strong proficiency in SQL, SQL Server, and DAX.
• Experience working with Power BI.

Preferred Skills

• Experience in data lake or lakehouse development and Microsoft Fabric.
• Experience using Python for analytics solutions.
• Power BI or Microsoft Azure certifications.

Key Skills

Education

Any gradudate