Data Engineer

Role & Responsibility:

You will act as the primary developer for low-code business applications (Power Apps) and collaborative workspaces (SharePoint, Smartsheet) to streamline operations, while integrating AI capabilities (such as AI Builder, Copilot, or LLM APIs, n8n) to make these applications smarter and more autonomous.

You will manage data models across cloud environments (GCP, Redshift, Databricks) and create advanced dashboards (Power BI, Qlik, SAC) that leverage predictive analytics and machine learning. You will partner closely with stakeholders to translate operational needs into robust, integrated, and AI-enhanced technical solutions.

Required Skill:

• Bachelor's degree in computer science, Information Technology, Data Analytics, Business Information Systems, or a related field.
• 1-3 years of experience in business applications development, data analytics, or business intelligence.
• BI Tools: Strong proficiency in Power BI (including advanced DAX and Power Query), Qlik Sense, SAP Analytics Cloud, or Metabase.
• Low-Code & Automation: Proven experience building custom apps in Power Apps (Canvas/Model-driven) and automated flows in Power Automate and Figma
• Collaboration Tools: Advanced knowledge of SharePoint Online customization and Smartsheet workspace administration.
• Data Warehousing & SQL: Solid understanding of data warehousing concepts and strong SQL skills for querying and modeling data in GCP (BigQuery), Redshift, or SAP.
• AI & Machine Learning: Experience implementing AI features (e.g., AI Builder, cognitive services, OpenAI APIs, n8n, or basic Python/R for predictive analytics)