Full Stack Data Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and maintain scalable data ingestion and curation pipelines from various sources.

• Standardize, enhance the quality of, and optimize data for analytical applications.

• Contribute to a seamless end-to-end development process and ensure reliable data flow from source to insight.

• Construct and oversee GCP data platforms utilizing BigQuery, Dataflow, Pub/Sub, Cloud Functions, and associated services.

• Establish and manage data governance policies, access controls, and security best practices.

• Utilize Astronomer and Terraform for managing workflows and provisioning cloud infrastructure.

• Monitor and enhance pipeline and storage performance, scalability, efficiency, resource utilization, and cost-effectiveness.

• Collaborate with data architects, application architects, service owners, and cross-functional teams on best practices, design patterns, and frameworks.

• Automate data platform processes to boost reliability, data quality, and operational efficiency.

• Communicate technical decisions effectively to both technical and non-technical stakeholders.

• Convert business requirements into designs for data assets and efficient code.

• Document data engineering processes and encourage knowledge sharing.

⛳️ Requirements

• 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 proficiency in English.

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

• Strong expertise in SQL and Python.

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

• Familiarity with Terraform, CI/CD pipelines, and automation frameworks.

• Understanding of cloud security, data governance, and data quality best practices.

• Experience with relational databases such as PostgreSQL and MySQL, in addition to NoSQL and columnar databases.

• Knowledge of Service-Oriented Architecture (SOA) and microservices-based solutions.

• Familiarity with encryption and data masking techniques.

• Ability to monitor, troubleshoot, and optimize cloud workloads for performance, scalability, and cost efficiency.

• Preferred: experience with DBT, Dataform, Apache Airflow, Astronomer, microservices, API-based integrations, FinOps, and cloud cost optimization.

🏝️ Benefits

• Equal opportunity employer dedicated to fostering a diverse and inclusive workplace.

• Flexible remote work options.

• Opportunities for collaboration with cross-functional teams.

• Continuous learning about industry trends and emerging technologies.

• Emphasis on knowledge sharing and documentation practices.