Cloud Data Engineer

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories, and services for virtually every vocation, backed by technology, and engineered for uptime. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification. 

Ford Pro Tech –Data & Analytics (D&A) is a global team responsible for the strategy & delivery of 360 data services, modern business intelligence, and advanced analytics solutions powering Ford Pro. This enables Ford Pro to operate as an analytics-driven business in a competitive marketplace. 

Pro 360 Data Product Group:  Leads design and product teams with create the operational core data capability for Ford Pro Tech.  Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use

Our experienced Data & Analytics professionals on our product teams drive the next generation of Commercial Business.  D&A Cloud Data Engineers work in a Product Management Delivery model working end-to-end with business partners, analytics managers, product owners, product designers, data scientists, business intelligence engineers, and software developers to deliver analytics innovation. 

In this position...

We are adding a Cloud Data Engineer to our team who will leverage echnical expertise in data, analytics, cloud technologies, and analytic software tools to identify best designs, improve business processes, and generate measurable business outcomes.   The Cloud Data Engineer will work with Data Engineering teams from within D&A, across the Pro Tech portfolio and additional Ford organizations such as GDI&A (Global Data Insight & Analytics), Enterprise Connectivity, Ford Customer Service Division, Ford Credit, etc. 

This is an exciting and fast-paced role, which requires exceptional technical data and analytics skills with the opportunity to create huge impact to Ford Pro Commercial business. 

SOUTHEAST MI RESIDENTS: Please note, this job is posted as remote unless the selected candidate lives within 50 miles of Dearborn, MI, then if may require hybrid onsite schedule, up to 60% of the time.

What you'll do…

• Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Salesforce, Business Intelligence and Data Science teams
• Work with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more Ford Pro verticals. This data will be landed in GCP BigQuery.
• Build cloud-native services and APIs to support and expose data-driven solutions.
• Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions. 
• Design, build and launch shared data services to be leveraged by the internal and external partner developer community. 
• Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and Monitor data pipelines. 
• Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts. Understand how data is useful to the enterprise.

You'll have...

• Bachelor’s degree in Computer Science, Engineering, Data Analytics. or related field or a combination of education and equivalent work experience 
• 3+ years of experience with SQL and Python
• 2+ years of experience with GCP or AWS cloud services;   (Candidates with 5+ years of experience in a traditional data warehouse environment such as ETL pipelines with Informatica may be considered)
• 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner. 
• 3+ years of experience with a broad array of relational and non-relational databases.
• 2+ years of experience building applications in a data-focused role (Cloud and/or Traditional Data Warehouse)

Even better, you may have...

• Master's Degree M.