Data Engineer (Remote)

Job DescriptionThe hiring company is a new global business within the company committed to commercial customer productivity. It 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 company ecosystem, helping customers' businesses thrive today and into the new era of electrification.We are seeking experienced Data & Analytics professionals to add to our product teams to 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.This is an exciting and fast-paced role, which requires exceptional technical data and analytics skills with the opportunity to create huge impact to the company's Commercial business.Leads design and product teams with create the operational core data capability for the company. 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.As a Cloud Data Engineer, you will leverage your technical expertise in data, analytics, cloud technologies, and analytic software tools to identify best designs, improve business processes, and generate measurable business outcomes. You will work with Data Engineering teams from within D&A, across the Pro Tech portfolio and additional company organizations.ResponsibilitiesDevelop 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 company 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.To Apply, and see full job details, go to https://jobconnectionsproject.org/jobs/79296-2/(That is, without spaces http s :// jobconnectionsproject . org / jobs / 79296-2 / )