Job Description

The idóneo 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.

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

📌 Full Stack Data Engineer (Ciudad de México)
🏢 Ford México
📍 Ciudad de México