- 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.
Data Engineer with GCP Certification
Work effectively with fellow data engineers, product owners, data champions and other technical experts. Dexian is seeking a Data Engineer with GCP Certification for an opportunity with a client located in Dearborn, MI. Develop exceptional analytical data products using both streaming and batch inge...
Engineer-Data Coordinator-Issues Manager for Launch
Our engineering company is looking for a Data Coordinator/Issues Manager to support launch projects on our automotive team. Data gathering and entry into a data management system. ...
ADAS Connected Data, Regulatory Engineer
BS Degree in Engineering, Physics, Computer Science, Data Science, or Control Systems. MS Degree in Engineering, Physics, Computer Science, Data Science, or Control Systems. You will use connected data and analytics to continuously monitor the functionality of ADAS features, systems, and components ...
Data Scientist - Visualization / Engineer
Multi-dimensional reporting, data correlation, data analytics and data mining. Designing, developing and maintaining dashboards and visualizations that allow for insights into validation test metrics data. Develop reports and dashboards via data mining analytics and reporting tools. Gather requireme...
Data Engineer
GDIA Data Factory and the transformation of that data into consumable data sets and APIs in support of analytics. Data design, data architecture and data modeling (both transactional and analytic). Knowledge of data management standards, data governance practices and data quality. Ford Motor Company...
Senior Data Engineer - People & Finance Technology (REMOTE)
Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Our Senior Data Engineer is a key member of...
Senior Big Data Engineer
In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Align with security, da...
Data Center Engineer (On-site)
The Data Center Engineer will provide technical support and triage on client server, storage, networking hardware both onsite and remote. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Int...
Senior Analytic Data Engineer – AI Services and Platforms
We are seeking an experienced Senior Analytic Data Engineer to join our team and drive the development of innovative AI (generative and predictive) based solutions for our enterprise stakeholders. As a member of the AI Services and Platform team, you will collaborate with engineers and scientists to...
Senior Data Engineer
Entech Staffing Solutions is seeking a Senior Data Engineer for a remote position based out of Detroit, MI! This position is paying up to $75/hour and begins right away. Lead data analysis required to troubleshoot data related technical issues and resolution. Computer Science, Engineering, Mathemati...