Maintain the data architecture and logical data models and different legacy considering data integration and systems interfaces Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox Design and implement logical and physical data models Manage and oversee the daily ETL transformation mappings and integration programs ensuring its proper execution while loading data into the Data warehouse and or Data Lake with no errors before any new business day starts; notifying the impacted data owner(s) or data user(s) to take into their consideration Requirements Bachelor's Degree in Communication Engineering, Computer Science, or IT related degree. Enterprise Data Catalogues tools Data integration tools Data Governance tools
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