Design, implement, maintain, and modify enterprise databases for systems used in the collection, visualization, storage, transmission, and analysis of large volumes (1 TB+) of data.
Oversee all aspects of database architecture strategy, data modeling, security, business continuity, standards and practices, systems design, implementation, integration, troubleshooting, and administration.
Develop, install, maintain and monitor globally-distributed hybrid-cloud corporate databases in a high performance/high availability environment supporting existing and new enterprise products.
Manage backups and synchronization of multiple databases between data centers.
Provide Tier-2 and Tier-3 support to development teams and business users with database operations, including the development of complex SQL, tuning of DML and the creation of storage procedures.
Support design and development of SQL code and SSRS reports or other reporting platforms.
B.S. in Computer Science, Information Technology or equivalent
5+ years working-knowledge of data integration, data movement, global database administration, traffic shadowing, test driven development, and software development life cycle.
5 years’ experience integrating database strategies with data larger than 1TB using SQL Server, MySQL, NoSQL, Big Data, or JSON interfaces.
5 years of experience with .Net framework and/or Java.
5 years of experience building and executing Big Data strategies, systems, and platforms addressing the capture of data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source.
Experienced in SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS) or other reporting services.
Experience in clustering enterprise relational and document-oriented databases with restful services and traffic mirroring.
Experience with Python, R, MatLab, or other mathematical languages is a plus.
Experience with Firebird databases is desired.
Experience with time-oriented and graph-oriented databases a plus.
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