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-Support the Sales Department in order to presenting the Big Data projects for customers in Government Organization and Private Sectors.
-Support the Project Installation Department in order to develop the Big Data system according to the scope of each project.
-Support the After-Sales Service Department in order to maintain the Big Data system in all projects to work properly.
-Create Big Data solution architectures in various projects by studying and comparing the existing technologies and components both Open Source and Commercial product. To optimize the performance, size and price.
-Study and analyze the business requirement of each customer. To design the Big Data solution that can serve the business operation of customers in various domains effectively.
-Develop and implement components of Big Data system for example: Data Lake, Data Warehouse, HDFS, Data Mart, ETL, Data Analytic, Data Visualization, BI, Machine Learning, Social Listening, Open Data API, etc.
Manage Data in Big Data system for example: Structured Data, Unstructured Data, Stream Data, Cleansing Data, Metadata Categorization, Simulation Data, etc.
To develop the Data Analytic System, create predictive models, present data on dashboard for example: Predictive Models, Pattern Discovery, Prescriptive Analytic, AI, Dashboard, Infographic, etc.
-Strong problem-solving skills and drive to learn and master new technologies.
-Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
-Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
-Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
-Excellent written and verbal communication skills for coordinating across teams.
-Experience in manipulating data sets and building statistical models, has education in Statistics, Mathematics, Computer Science or another quantitative field.
-Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
-Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
-Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
-Experience using web services: Redshift, S3, Spark, Digital Ocean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.