Description:

The position is for a Data Engineer based in Brazil (SP) with full-time employment.
The salary offered is USD$3.5k per month along with paid time off (PTO).
Working hours are from 9am to 5pm EST.
The company is located in Canada but allows remote work for candidates in Latin America (LATAM).
The company specializes in applying Generative AI to marketing, sales, and communications, aiming to help organizations unlock insights, drive automation, and enhance decision-making.
The Data Engineer will design and maintain data pipelines, architectures, and workflows that support AI-driven applications.
Responsibilities include working closely with AI specialists, engineers, and business teams to develop data frameworks for content creation, personalization, analytics, and automation.
Key responsibilities include designing efficient data pipelines for AI content generation, optimizing ETL processes for real-time insights, building data science models, implementing systems for data-driven decisions, and managing cloud infrastructure (AWS) for AI applications.

Requirements:

Candidates must have 4 to 6 years of experience in data engineering or data science.
Strong programming skills in Python and SQL are required.
Experience in building ETL pipelines and real-time data streaming using tools like Apache Airflow or Kafka is necessary.
Proficiency in AWS is required, with expertise in serverless data processing and large-scale data storage.
Candidates should have strong knowledge of database management, including SQL, NoSQL, and vector databases.
Experience in building data crawlers and integrating external data sources into workflows is essential.
Familiarity with vector databases or orchestrating Retrieval-Augmented Generation (RAG) pipelines is required.

The position offers a competitive salary of USD$3.5k per month.
Employees will receive paid time off (PTO).
The role allows for remote work from Latin America, providing flexibility in work location.
The opportunity to work at the forefront of Generative AI applications in marketing, sales, and communications is a significant benefit.