Data Engineer

Generic Managerial Skills: Stakeholder Management & Business Consulting: Engage with business leaders to understand strategic objectives and analytics needs. Perform feasibility analysis, define KPIs, and recommend optimal analytics solutions aligned with business objectives and enterprise data strategy.

Location: Rosemead, CA
Duration: 6 months
GBaMS ReqID: 10889668
Position: Data Engineer

• Must-Have Technical/Functional Skills:
  • SAP Datasphere
  • SAP Analytics Cloud (SAC)
  • SAP BW
• Roles & Responsibilities:
  • Evaluate and rationalize analytics demand by collaborating with business stakeholders to assess analytics and reporting requirements.
  • Perform feasibility analysis, define KPIs, and recommend optimal analytics solutions aligned with business objectives and enterprise data strategy.
  • Design end-to-end data and analytics architectures across:
    • SAP Datasphere
    • SAP Analytics Cloud (SAC)
    • Palantir
    • Power BI
    • Snowflake
    • Other enterprise data and analytics platforms
  • Ensure seamless integration, scalability, performance, and governance across analytics platforms.
  • Define analytics platform strategy and establish decision frameworks for selecting appropriate tools based on:
    • Business use cases
    • Data complexity
    • Governance requirements
    • Total cost of ownership (TCO)
  • Evaluate and recommend analytics platforms such as SAC, Power BI, embedded analytics, and self-service analytics.
  • Drive data governance and data product enablement across the organization.
  • Define and implement:
    • Data models
    • Business glossary
    • Metadata management
    • Data lineage
    • Security standards
    • Data governance standards
  • Enable reusable data products and self-service analytics capabilities.
  • Provide architectural oversight for data and analytics initiatives.
  • Conduct solution reviews, proof-of-concepts (POCs), and architecture assessments.
  • Guide development teams in implementing scalable data and analytics solutions.
  • Develop and drive technology roadmaps for modernization from legacy reporting platforms to SAP Datasphere, SAP SAC, and Power BI ecosystems.
• Generic Managerial Skills:
  • Stakeholder Management & Business Consulting:
    • Engage with business leaders to understand strategic objectives and analytics needs.
    • Facilitate analytics demand discussions and prioritize business requirements.
    • Translate business requirements into actionable data and analytics roadmaps.
  • Leadership & Cross-Functional Collaboration:
    • Lead multidisciplinary teams across data engineering, BI, reporting, and business functions.
    • Drive cross-functional alignment, decision-making, and successful solution delivery.
    • Coordinate with technical and business teams to ensure project objectives are achieved.
  • Strategic Planning & Governance:
    • Establish and maintain analytics governance frameworks.
    • Prioritize analytics and data initiatives based on business value.
    • Manage project risks, budgets, and resource utilization.
    • Drive continuous improvement to maximize business value from analytics investments.