Infrastructure and Advanced Analytics Solution Specialist
Auto Req ID:
29449BR
Job Title:
Infrastructure and Advanced Analytics Solution Specialist
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
Job Description/Overview:
The Infrastructure and Analytics Solution Deployment team within Ford’s Global Data, Insight and Analytics (GDI&A) organization is looking for an IT professional with software development experience. The candidate will be working with variety of data sources from flat files, RDBMS, and Hadoop HDFS data sources and must be familiar with Hadoop eco system. We build analytical workflows to dig into the huge set of data sources within Hadoop and external RDBMS data sources using analytical techniques and machine learning. The position also requires the deployment and promotion of analytical models to target environments (Cloud, Edge computing) and dashboard creation.
Responsibilities:
Job Requirements:
Basic Qualifications:
Preferred Qualifications:
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Job Description/Overview:
The Infrastructure and Analytics Solution Deployment team within Ford’s Global Data, Insight and Analytics (GDI&A) organization is looking for an IT professional with software development experience. The candidate will be working with variety of data sources from flat files, RDBMS, and Hadoop HDFS data sources and must be familiar with Hadoop eco system. We build analytical workflows to dig into the huge set of data sources within Hadoop and external RDBMS data sources using analytical techniques and machine learning. The position also requires the deployment and promotion of analytical models to target environments (Cloud, Edge computing) and dashboard creation.
Responsibilities:
- Collaborate with Business partner; IT and analytics team to create model development requirements
- Collaborate with Infrastructure and Deployment team to develop wrappers and API around analytic models and scope POCs
- Help develop framework to promote analytics model from Dev to Prod environment
Job Requirements:
Basic Qualifications:
- B.S. in Engineering, Computer Science or applicable related technical field
- 2+ years of experience in core Java or other programming languages (such as C, C#, C++), and with programming in at least one scripting languages (such as JavaScript, Unix Shell programming)
- 2+ year experience in Spark and Python programming
- 1+ years of experience working with 1 of more of the following: Hive, SQL, relational databases (SQL Server, Teradata) or NoSQL
- 1+ years of experience in Spring Boot and Angular frame work or any other software development frame work
Preferred Qualifications:
- Master or PHD in related fields
- Experience with real time and near real time Analytics in Hadoop environment
- Experience with Hadoop environment, MapReduce programing, Oozie, Scala, and other Hadoop services
- Experience with text base search platform such as Solr or Elastic search
- Excellent verbal and written communication skills
- Results oriented person with a delivery focus
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.