Full-Stack Data Engineer - GCP Pipelines & Security

Ford México; Puebla de Zaragoza; On-site; MXN 600,000 - 900,000; Full time

Job summary

Ford México is seeking an experienced Data Engineer to design and build scalable data pipelines on Google Cloud Platform. You will work with SQL, Python, and Java to deliver robust data solutions, ensure data quality, security, and governance, and collaborate with cross-functional teams.

In this role, you will architect end-to-end data flows, deploy pipelines with Terraform and Tekton, and optimize workloads for cost and performance while staying aligned with business goals.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
• 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.

Responsibilities

• Data Pipeline Architect & Builder: Spearhead the design, development, and maintenance of 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.
• End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
• GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
• Data Governance & Security Champion: Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCP's native security features to protect sensitive data.
• Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
• Performance Optimization Driver: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
• Collaborative Innovator: Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
• Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
• Effective Communicator: Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
• Continuous Learner: Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities.
• Business Impact Translator: Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals.
• Documentation & Knowledge Sharer: Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.

Job description

Ford México is seeking an experienced Data Engineer to design and build scalable data pipelines on Google Cloud Platform. You will work with SQL, Python, and Java to deliver robust data solutions, ensure data quality, security, and governance, and collaborate with cross-functional teams.

In this role, you will architect end-to-end data flows, deploy pipelines with Terraform and Tekton, and optimize workloads for cost and performance while staying aligned with business goals.