Michigan Staffing
Senior Data Engineer
Positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). This is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. Implement methods for automation of all parts of the pipeline to minimize labor in development and production. Analyze complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products. Work with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption. Communicate with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management. Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Serve as the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.
Positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). This is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. Implement methods for automation of all parts of the pipeline to minimize labor in development and production. Analyze complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products. Work with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption. Communicate with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management. Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Serve as the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.