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The SAP Software Engineer II is responsible for SAP configuration, business process solutions, and systems development. They work with business areas to define requirements, streamline processes, and provide technical insight for SAP solutions. Responsibilities include system testing, configuration documentation, master data management, implementation support, and client interaction.
The Lead Application & Product Architect is responsible for translating complex requirements into architectural designs, guiding the development of large scale Cloud Native applications, making technology decisions, overseeing design governance, and collaborating with IT operations on deployment strategies.
The Senior Data Architect will collaborate with teams to improve product performance, stabilize systems, and develop a robust data architecture. Responsibilities include reverse engineering for performance tuning, managing large datasets, and designing effective data pipelines and infrastructures.
The Lead Network Engineer will design, implement, and support an SDN-based Enterprise Network across 100 global locations. Responsibilities include troubleshooting, collaborating on high-level designs, conducting Proof-of-Concept activities, and transitioning deployments to operational teams. Key focus areas include traditional and cloud networking technologies.
The Senior Technology Product Manager will set the direction for the Firm Management Solutions portfolio, prioritizing product deliverables based on user needs and business impact. Responsibilities include managing the product backlog, facilitating customer interactions, documenting requirements, and collaborating with development teams to ensure timely delivery of new features and services.
The Lead Cloud Data Engineer will be responsible for designing and implementing end-to-end solutions in Azure Enterprise Data Lake, optimizing data pipelines, and ensuring the availability, performance, scalability, and security of large-scale data processing systems. Additionally, collaborating with architects, leads, and stakeholders to support data-driven decision-making processes.
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