Big Data Engineer
Job Summary
Technical Discovery: Conduct deep-dive discovery sessions to understand client data silos and legacy systems.
Solution Architecting (Pre-Sales): Collaborate with engineering teams to design high-level Azure architectures and demonstrate how SQL-based data warehousing can solve business bottlenecks.
Data-Driven Pitching: Use Power BI to create compelling data-backed sales presentations and POCs (Proof of Concepts) that visualize ROI for potential clients.
Pipeline Management: Manage the full sales lifecycle from lead generation to contract negotiation ensuring a healthy pipeline of Azure migration and data analytics projects.
Mandatory Skills : Azure SQL Power BI.
Solution Architecting (Pre-Sales): Collaborate with engineering teams to design high-level Azure architectures and demonstrate how SQL-based data warehousing can solve business bottlenecks.
Data-Driven Pitching: Use Power BI to create compelling data-backed sales presentations and POCs (Proof of Concepts) that visualize ROI for potential clients.
Pipeline Management: Manage the full sales lifecycle from lead generation to contract negotiation ensuring a healthy pipeline of Azure migration and data analytics projects.
Mandatory Skills : Azure SQL Power BI.