Data Engineer

As a Data Engineer at LevelShift, you will:

• Design, develop, and maintain scalable data models and data warehouses to support enterprise reporting and analytics requirements.

• Build reports using Power BI, Tableau, to deliver meaningful business insights.

• Develop and manage ETL/ELT pipelines to enable efficient data integration, transformation, and processing across multiple data sources.

• Implement data quality, governance, security controls, and access management practices to ensure trusted and compliant data environments.

• Collaborate with business stakeholders and technical teams to gather requirements, optimize data workflows, and support cloud-based data modernization initiatives.

How this role uses AI

• Should be comfortable using AI tools to enhance analytics workflows, automate repetitive tasks, generate insights, and improve productivity while ensuring data governance and security.

• Utilize AI-assisted data preparation, dashboard generation, anomaly detection, predictive analytics, documentation, and code generation to accelerate solution delivery.

• Leverage AI-powered tools such as Microsoft Copilot, Power BI Copilot, Azure AI services, GitHub Copilot, and cloud-native analytics platforms to build intelligent and data-driven solutions.