LR078 Big Data Microservices Consultant II

Big Data Microservices Consultant II, under sufficient supervision, design, formulate, and implement data solutions in microservices applications for clients. Help to apply contemporary Big data technologies (such as Kafka, Hadoop, Hbase, DataStax/Casandra, Azure Event Hubs, and so on) to find solutions to numerous industry issues. Lead technical projects pertained to distributed architectures and real-time prognostic development of big data analytics. Help to manage data analytics and CRM to assess organizational technical performance and provide recommendations on system enhancements. Work with data architects, data analysts, and data scientists to ensure execution of data analysis projects are carried out effectively within the organization. Help to direct cross-functional design workshops and training in developing solutions for real-time distributed data processing techniques. Determine trends in pairs of data and correctly read data models and code to develop data rules for analysis. May have a Bachelor’s degree in information management systems, database management, computer science, or any other related discipline. Has 6 to 10 years’ work experience in a related field. Help with WMP solutions Architects to develop enterprise-class high-performance solutions specifically built for scale. Communicate with the development team to establish precise database specifications and technical requirements to enhance business needs. Develop distributed applications that leverage microservices architecture and RESTful services. Help to perform routine analysis tasks to support daily business functioning and decision making. Create data definitions for new database files or changes made to the existing files for the purpose of analysis. Design strategies and structure to collect, store, analyze and visualize data from various sources for specific projects to make informed decisions. Understand relevant programming languages such as Python, R, Java, Ruby, Pig or SQL. Able to use large cloud computing infrastructure solutions like Elastic MapReduce or Amazon Web service. Works under the Senior Big Data Consultant.