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Full Stack Data Engineer

Role overview

Qualifications

  • Strong proficiency in SQL, Python, and Java
  • Hands-on experience designing, developing, and deploying cloud-based data pipelines using Google Cloud Platform (GCP), including BigQuery, Dataflow, and Dataproc
  • Experience with relational databases such as PostgreSQL and MySQL, as well as NoSQL and columnar databases
  • Understanding of Service-Oriented Architecture (SOA) and microservices-based solutions

Responsibilities

  • Build reliable, scalable, and secure data solutions
  • Implement CI/CD pipelines and Infrastructure as Code (IaC) using tools such as Terraform and Tekton
  • Monitor, troubleshoot, and optimize cloud workloads for performance, scalability, and cost efficiency
  • Ensure data governance, security controls, encryption, and data masking techniques are in place

Key facts

Hard skills

Other skills

  • Analytical Thinking
  • Problem Solving
  • Communication

About the company

Ford Motor Company logo

Ford Motor Company

Automotive Manufacturing

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us. Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day. Privacy Policy: https://www.ford.com/help/privacy/

Company details

Company typeXLarge
IndustryAutomotive Manufacturing
Company size10001

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Job description

The ideal candidate will have strong experience in data engineering, cloud technologies, and software development, with a passion for building reliable, scalable, and secure data solutions.Required technical expertise includes:
  • Strong proficiency in SQL, Python, and Java.
  • Hands-on experience designing, developing, and deploying cloud-based data pipelines using Google Cloud Platform (GCP), including BigQuery, Dataflow, and Dataproc.
  • Experience with relational databases such as PostgreSQL and MySQL, as well as NoSQL and columnar databases.
  • Understanding of Service-Oriented Architecture (SOA) and microservices-based solutions.
  • Knowledge of data governance, security controls, encryption, and data masking techniques.
  • Experience implementing CI/CD pipelines and Infrastructure as Code (IaC) using tools such as Terraform and Tekton.
  • Ability to monitor, troubleshoot, and optimize cloud workloads for performance, scalability, and cost efficiency.
  • Strong analytical, problem-solving, and communication skills.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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