LR080 Senior Big Data Microservices Consultant

Senior Big Data Microservices Consultant designs, develops, and maintains the microservices data infrastructure to meet the data needs of the organization. Provides computer programming support for the organization’s business database needs. Presents big microservices application data integration and utilizes global best practices and expert implementation experience, as well as unique technical know-how. May have a Bachelor’s degree in computer science, information resource management, information technology, or other related fields, amongst other certifications. Experienced in data infrastructure, data management design, data and information security, data analytic, data technical support, data mining, database management, data repository, and so on. Has solid knowledge of relational database principles, data modeling, data repository creation, and data architecture. Proficient in database programming languages such as ORACLE, SQL, Postgre-SQL, Transact-SQL, SYBASE, MySQL, Microsoft SQL Server, SQL Server Integration Services (SSIS); and other relevant computer programming languages such as MySQL, jQuery, Oracle, Java Script, Angular, CSS, HTML 5, Apache, Node.js, Beans, Postgre, Python, C, C++, and so on. Experienced developing codes, specifications for quality assurance testing, RDBMS management and monitoring, and data analytic dimensional modeling techniques. Has strong analytical, creative, consulting, and communication skills. Capable of making good judgment while working with both technical and business personnel. Has solid knowledge of SAS and R code for data processing and modeling. Has proven knowledge of Microsoft Azure and Amazon Web Services computing platforms, as well as Hadoop, Docker, Impala, Hibernate, Pig, Hive, YARN, Hibase, and other Big Data technologies. Develops and prepares data mining and analytics schedules for organizational data infrastructures that suit the enterprise’s needs. Design microservices data models, including logical and physical models; managing all clients’ requirements and designing specifications for data architectures. Supports software development lifecycle; analyze various data infrastructure components; prepares information for custom search query of both technical and work teams; and prepares microservices code designs for effective implementation. Evaluates and reviews all microservices codes and ensures quality of all database development project results by providing subject matter expertise (SME) as needed by the organization.