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Tier-1 brand, popular Data Engineer title, metro location, and broad skillset increase candidate competition.
Strong requirement for SAP BusinessObjects administration and enterprise BI experience creates high domain specificity.
Mandatory 7+ years and specific SAP BO plus cloud/BI platform expertise make filters strict.
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Build and maintain data architecture pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and develop data processing and analysis algorithms suitable for complex data volumes.
Collaborate with data scientists to build and deploy machine learning models and influence operational effectiveness with a focus on risk management and governance.
7+ years of experience in SAP BusinessObjects Administration and Enterprise BI Platform Support.
Strong expertise in SAP BO BI 4.x platform administration including installation, configuration, upgrades, patching, and migrations.
Working knowledge of Windows Server administration, Linux/Unix operating systems, and strong SQL/database troubleshooting skills.
Experience with AWS, Azure, Snowflake, Databricks Platforms, and familiarity with ITIL-based support frameworks.
Experienced in leading or guiding teams through complex, cross-functional data projects with a focus on operational risk and governance.
Skilled in SAP BusinessObjects platform and enterprise BI support within large-scale or financial services environments.
Comfortable working at a senior level influencing stakeholders and contributing to policy development related to data engineering and analytics infrastructure.