# Full Stack Data Engineer

**Company**: Ford
**Location**: Mexico
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_98b1b20a-b3f

## Description

We are seeking a highly skilled Full Stack Data Engineer to join our team in Mexico. 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.

Responsibilities:

- Design, develop, and maintain scalable data ingestion and curation pipelines from diverse sources.

- Ensure data is standardized, high-quality, and optimized for analytical use.

- Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.

- Contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.

- Build and manage data platforms that meet and exceed business needs and expectations using GCP services.

- Implement and manage robust data governance policies, access controls, and security best practices.

- Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.

- Collaborate with data architects, application architects, service owners, and cross-functional teams to define and promote best practices.

- Automate data platform processes to enhance reliability, improve data quality, and minimize manual intervention.

- Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders.

- Stay ahead of the curve by continuously learning about industry trends and emerging technologies.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Engineering, or a related field.

- 5 to 7 years of experience in Data Engineering or Software Engineering.

- Strong English skills.

- Minimum 2 years of hands-on experience building and deploying cloud-based data platforms, preferably on Google Cloud Platform (GCP).

- Strong proficiency in SQL and Python.

- Experience with BigQuery, Dataflow, Dataproc, and cloud-based data processing technologies.

- Experience with Terraform, CI/CD pipelines, and automation frameworks.

- Knowledge of cloud security, data governance, and data quality best practices.

## Skills

### Required
- SQL
- Python
- Java
- Google Cloud Platform (GCP)
- BigQuery
- Dataflow
- Dataproc
- PostgreSQL
- MySQL
- Service-Oriented Architecture (SOA)
- microservices
- data governance
- security controls
- encryption
- data masking
- CI/CD pipelines
- Infrastructure as Code (IaC)
- Terraform
- Tekton

### Nice to have
- DBT
- Dataform
- Apache Airflow
- Astronomer
- FinOps

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)