Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance. Tools required Erwin/ER- Studio, ETL tools like Informatica, SAS, AB initio and DataStage, Databases, Amazon RedShift, Oracle, Tera Data, SQL Server and Hive. Design and develop data ingestion, aggregation, integration and advanced analytics. Must be willing to travel to set up systems to various clients at unanticipated locations across the nation and perform feasibility studies and evaluate user requirements.
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