Big Data Architect I, Cloud Computing Technologies Agile Development Labor Rate is responsible for designing, developing, testing, tuning and building a large-scale data processing system. solve problems that are quite big by analyzing the data, using Hadoop, which is a data technology. Work with the technology, business and project teams to ensure implementation of data solutions is aligned with the enterprise data and technology standards. Drive the development and implementation of data design methods, data structures, and modeling standards. Implement industry standard development policies, procedures and standards. Builds, maintains and ensures conceptual and logical data models. Conduct data model assessments for strategic data entities and help data owners to address data gaps. Document architecture decisions that include business needs, point of view, rationale, pros and cons. Big Data Architect I requires at least a Bachelor of Science degree or any higher-level honor (such as Masters or Ph.D.) in Computer Science, Data Processing and any other related field. Should have good decision-making skill for data analysis and should also possess the quality of architecting the massive data. Should know about machine learning as it is crucial; pattern recognition, clustering for handling data and text mining is a few essentials. should have a keen interest and experience in programming languages and all the technologies that are latest. Should understand one or more of all kinds of JavaScript frameworks like HTML5, RESTful services, Spark, Python, Hive, Kafka, and CSS. A big data architect should have the required knowledge as well as experience to handle data technologies that are latest such as; Hadoop, MapReduce, HBase, oozie, Flume, MongoDB, Cassandra and Pig. Should have skills in big data tools and technologies; it includes technologies like the Hadoop, accumulo, MapReduce, Hive, HBase, panoply and redshift. Ability to apply expertise to help model structured and unstructured data for applications, own these models at a high level and consult with solutions delivery teams to help them model applications. Interact with development teams to align technology priorities to provide architecture directives.
Further rates within this Big Data Architect I category.
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The team at CCT helped us with our complex ETL challenges to mitigate data loss. We will continue to use the services of CCT into the future.