(764) Lead Data Engineer

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Requirements:

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ Years of experience working with Microsoft SQL and data engineering.
• 5+ Years of experience managing data warehouse environments working with star schema architecture or data lake environments.
• 3+ Years of experience working with Python.
• 3+ Years of experience working with Power BI.
• 3+ Years of experience working with ETL processes over SSIS.
• 2+ Years of experience working with Azure Data Factory AND/OR Azure Synapse Analytics.
• 1+ Years of experience working with Power BI Report Builder or SSRS.
• Microsoft Certification DP600 – Fabric Analytics Engineer Associate.
• Experience with Azure DevOps for code deployment.
• Advanced English Level is required.

Responsibilities:

• Design, develop, and maintain scalable data architectures using SQL, stored procedures, and ETL processes.
• Ensure robust data pipelines and efficient data flow across systems.
• Create and manage interactive and insightful dashboards using Power BI.
• Collaborate with data analysts to translate business requirements into actionable data insights.
• Oversee the management and optimization of data warehouse environments, ensuring data integrity and performance.
• Utilize Azure DevOps for code deployment and continuous integration.
• Ensure seamless integration of data solutions within the existing infrastructure.
• Develop technical roadmaps and prototypes for data engineering projects.
• Stay up to date with the latest trends and best practices in data engineering.
• Convening with various stakeholders to collect, document, and prioritize needs.