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. Requirements Expert in using SQL across Oracle, Hadoop/Hive databases, systems.

Expert in ETL systems - Via Batch SQL, Data Stage (awareness). Experience with extraction and loading into Hadoop/Hive. Business intelligence and data analysis software - IBM Cognos Impromptu; Tableau, Oracle Business Intelligence Enterprise Edition.

Operating system software - Bash, UNIX, Shell script. Knowledge of IVR (Interactive voice Response systems). Knowledge and Expertise in vehicle-based telematics architecture.

Specialized knowledge of vehicle-based health programs, High Speed telematics ingestion and backend -vehicle communication Data base management system software - Apache Hadoop/HDFS; Oracle PL/SQL; Teradata Database, Apache Cassandra, Apache Hive, NoSQL db. Advanced proficiency with using text Analytics using Hive. Familiarly and experience with implementing machine learning models (Create data sets, train models, explain correlations between dependent and independent variables) Familiarity with statistics and ability to explain why a specific model was chosen.

Familiarity with Object or component-oriented development software - Python. Presentation software - Microsoft PowerPoint Project management software -Microsoft Project; Microsoft SharePoint. Development environment software -; Eclipse IDE; Microsoft Visual Studio.

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Bhavya Khurana M:(248) 264-7750.