Job Description :
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Position: Data Analyst Engineer
Location: St. Louis, MO
Duration: Right to Hire
Interview Mode: Phone and skype
Job Description:
High degree of self-motivation, drive and determination, along with high aptitude.
Master''s Degree is preferred.
Supply chain industry experience preferred.
Knowledge of and experience with cloud data solution offerings (Azure Data Lake, Data Factory, Data Management Gateway, Azure Storage Options, DocumentDB, Data Lake Analytics, Stream Analytics, EventHub, Azure SQL, etc
Experience with big data tools: Hadoop, MapReduce, HBase, oozie, Flume and Pig.
Experience and knowledge of cost-optimized cloud deployments spanning compute, network and storage.
Experience of message queuing, stream processing and highly scalable big data stores.
Experience with NoSQL databases, such Cassandra, MongoDB, CosmosDB.
Experience working with DevOps tools: ADO, Git, Jenkins, Dockers, etc.
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience in creating advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis and modeling.
Experience/ keen interest in exploring latest technologies and programming languages.
Have strong interest in future path of to design, develop and support Machine Learning technologies, algorithms and models in support of business initiatives including:
Determine the appropriate algorithms to solve a given problem through testing, analysis, and validation with the business.
Data exploration and visualization to understand and define features for a given data set.
Data model training and tuning to reduce errors and increase reliability and accuracy.
Participate in innovation forums to identify new ways to leverage data to solve business issues.