hero

We bind our fortunes to those who dare to burn
away the obsolete and forge the unimagined future.

Data Engineer

Platzi

Platzi

Software Engineering, Data Science
Posted on Friday, June 21, 2024

Data Engineer

Who we are

Platzi is a leading provider of online education in Latin America and the Spanish-speaking world. As the foremost provider of non-traditional, scalable education, we offer training in areas like AI, Cybersecurity, English, Technology, and Leadership. Platzi serves over 5 million students and thousands of corporate clients.
Platzi is the essential learning platform for both companies and employees. As an industry leader, we receive extensive press coverage and maintain a prominent presence at major industry events. Although we operate remotely, we highly value in-person interactions and consider them crucial to our success.
Please, be sure to read https://platzi.com/notrabajar to find why you should not work with us yes, read it before applying, also read https://platzi.com/cultura as a foundational document for our team.

What You’ll Be Doing

Design and Implement Data Architecture: Develop and maintain robust, scalable data architectures, ensuring optimal performance and reliability of our data warehouse systems.
Cloud Data Solutions: Leverage cloud computing services, primarily AWS and GCP, to build and manage data infrastructure.
Advanced SQL Operations: Utilize advanced SQL techniques for data processing, integration, and extraction to support various business needs.
Data Pipeline Development: Construct, automate, and manage data pipelines to ensure seamless data flow across our systems.
Collaborative Projects: Work closely with cross-functional teams in engineering, product, marketing, and sales to deliver data-driven solutions.
Data Governance and Quality: Establish and enforce best practices for data governance, ensuring data accuracy, consistency, and security.
Innovation and Optimization: Continuously evaluate and integrate emerging technologies and methodologies to enhance our data engineering processes.
Optional - NoSQL Proficiency: Apply knowledge of NoSQL databases and related AWS and GCP solutions to complement our data storage strategies.

Who You Are

Experience: 3+ years of hands-on experience in data engineering.
Educational Background: Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related field.
Cloud Expertise: Proficiency in AWS and GCP, with a solid understanding of their data solutions (Row and Columnar solutions).
SQL Mastery: Advanced SQL skills for complex query design and data manipulation.
Programming Skills: Strong programming abilities in languages such as Python, Java or similar.
Data Warehousing: Experience with data warehouse systems and architecture.
Big Data Frameworks Proficiency: Strong experience with big data technologies (Spark, Kafka, etc.) and understanding of their architectural principles.
Real-Time Analytics Skills: Experience with real-time data processing frameworks and technologies such as Apache Flink, or similar
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to diagnose and resolve complex data issues.
Communication: Exceptional communication skills, capable of translating technical concepts into actionable business insights.
Continuous Learner: A proactive learner who stays updated with the latest in data engineering and cloud technologies.
English Proficiency: Comfortable conversing and writing in English (at least a B1 level).
Optional - NoSQL Knowledge: Familiarity with NoSQL databases and their applications within cloud environments.
Optional - Hands on experience with DBT and Airflow

Desirable skills

Familiarity with AI tools that enhance productivity and experienced in integrating AI technologies to streamline workflows.