Connected Vehicle Quality Data Analytics Engineer
Ford Motor Company
full-time
Posted on:
Location Type: Hybrid
Location: Dearborn • Missouri • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
BigQueryHadoopJavaPythonSparkSQL
About the role
- Work with PD teams to extract, summarize, and analyze Connected Vehicle data to further understand and problem solve potential issues
- Work with program launch teams, plant resident engineers, and program software/hardware engineers to triage vehicle faults (DTCs) setting at the plant, dealership, or customer with the goal of implementing corrective actions avoiding warranty issues
- Enhance the use of Connected Vehicle data (e.g., battery SOC data, door ajar, warning lights, etc.) through the ideation and development of tools/methods for problem solving
- Use and develop processes, tools and methods to obtain insight from large files of Connected Vehicle data
- Apply project management disciplines by making sure that risks are identified, mitigated, or escalated
- Promote and use Agile Data Collection methods (RDR, PARSED and CARMon) in support engineering problem solving and data-driven decisions
- Build strong and trusting relationships with business partners across Ford North American organizations
Requirements
- Bachelor’s Degree in Mechanical/Mechatronics Engineering, Electrical Engineering or Computer Science related field
- 2+ year of experience in Big Data Analytics manipulating data to form unified data sets for analysis
- 2+ years of experience in automotive ECUs design/Systems/integration/validation.
- 1+ year of experience in vehicle's network communication (CAN, LIN & Ethernet communication).
- 1+ year experience in query languages, SQL, HiveQL, Google BigQuery, or Spark
- 3+ years of experience in Big Data Analytics
- 2+ years of experience in query languages, SQL, HiveQL, Google BigQuery, or Spark.
- Ability to understand how to ingest large data sets from a variety of sources (SQL, Python, Java, Hadoop, Alteryx, Qlik Sense, etc)
- Knowledge of data management
- Experience with Automotive systems, features, and/or components
- Proficient with GitHub and JIRA
- Strong visualize skills in communicating data insights to make data analysis measurable and understandable by business partners
- Ability to take complex problems and break them down to build and implement an action plan
- Strong collaboration and communication skills, ability to engage with upper management, and peers
- Self-motivated individual with a high level of initiative
- Ability to prioritize in a fast-paced, sophisticated, global environment
- Strong organizational and time management skills with the ability to coordinate multiple teams and projects
- Ability to consistently perform at a high level of technical competence, showing composure and decisiveness under pressure
- Excellent interpersonal, written, and oral communication skills
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Big Data Analyticsautomotive ECUs designvehicle's network communicationquery languagesSQLHiveQLGoogle BigQuerySparkdata managementdata analysis
Soft skills
strong collaboration skillscommunication skillsself-motivatedorganizational skillstime management skillsproblem-solving skillsability to prioritizeinterpersonal skillsinitiativedecisiveness