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CX Products Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, Data Engineering, ETL, ELT, SQL, GCP, BigQuery, Google Cloud Storage, Dataflow, Dataproc, Terraform, AI, LLM, Agile, Test-Driven Development

Industry

Motor Vehicle Manufacturing

Description

Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment of Data Platform. Implement methods for automation of all parts of the pipeline to minimize labor in development and production. Provide technical guidance, mentorship, and code-level support to the development team Work with the team to develop and implement solutions using GCP tools (BigQuery, GCS, Dataflow, Dataproc, etc.) Ensure adherence to security, legal, and Ford standard/policy compliance Analyze and optimize the performance of data pipelines and related services to ensure efficiency and cost-effectiveness when dealing with large datasets. Participate in code reviews and contribute to improving code quality Ensure implementation of DevSecOps and software craftsmanship practices (CI/CD, TDD, Pair Programming) Established and active employee resource groups Minimum 5 Years of Experience in Java/python in-depth Minimum 5 Years of Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL/ELT principles and write complex sql queries. Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Google Cloud Storage, PubSub, Data Fusion, Dataproc Minimum 2 years of experience in development using Data warehousing, Big Data 3 Years of experience deploying google cloud services using Terraform Bachelors or masters in required field Experience working with AI/LLM models, leveraging Generative AI Understands data architectures and design independent of the technology Experience with Big Query, SQL Experience with Python, Apache Airflow Preferred Exceptional problem solving and communication skills and management of multiple stakeholders Experience in working with Agile and Lean methodologies Experience with Test-Driven Development Exposure to AI/LLM

Responsibilities

Work as part of an implementation team to provide technical expertise for the deployment of the Data Platform. Implement automation methods for the pipeline and provide mentorship and support to the development team.