Data Engineer

3 weeks ago

Warren, United States ICONMA Full time

As a data engineer, the individual will work with a wide variety of data sources including Oracle, Teradata , Greenplum, Hadoop databases to extract information and integrate to help create key performance indicators - The KPI's would serve as a benchmark of the critical program's success .

The KPI's would cover the aspects of operational health, effectiveness, and pain points of the digital implementation.

Effective gap analysis to understand the failure rates and the cause of the failures is also a key responsibility.

The individual would also be responsible for implementation of Text Analytics /ML programs to better our understanding of business analytics , train models to act as better predictors of the conversational intents ( Text parsing and topic modelling) , volumetric trends towards specific lines of business and overall pain point understanding .

With multiple initiatives going on, there would be holistic integration in the strategy employed as to achieve a unified picture of all programs.

Gather the data through mining computer data through software, to improve performance and reduce costs.

Effectiveness of the solutions through a cost model would also be a critical responsibility that the individual would work with along with a broader team.

As a data engineer, the individual will work with a wide variety of data sources including Oracle, Teradata , Greenplum, Hadoop databases to extract information and integrate to help create key performance indicators - The KPI's would serve as a benchmark of the critical program's success .

The KPI's would cover the aspects of operational health, effectiveness, and pain points of the digital implementation.

Effective gap analysis to understand the failure rates and the cause of the failures is also a key responsibility.

The individual would also be responsible for implementation of Text Analytics /ML programs to better our understanding of business analytics , train models to act as better predictors of the conversational intents ( Text parsing and topic modelling) , volumetric trends towards specific lines of business and overall pain point understanding .

With multiple initiatives going on, there would be holistic integration in the strategy employed as to achieve a unified picture of all programs.

Gather the data through mining computer data through software, to improve performance and reduce costs.

Effectiveness of the solutions through a cost model would also be a critical responsibility that the individual would work with along with a broader team.

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