Full Stack Data Engineer

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.