INNYX - PLENARY DATA ANALYST - MANAUS/AM

Description

Job Summary: The Plenary Data Analyst will be responsible for developing, maintaining, and enhancing data pipelines, participating in data migration projects, and organizing the Data Warehouse. Key Highlights: 1. Develop and enhance efficient and scalable data pipelines 2. Strategically participate in data migration projects 3. Organize and structure the Data Warehouse for data consumption **Welcome to the Bringel Group — innovation and boldness are in our DNA.** Innyx is a technology-mediated education company specializing in developing technological solutions for basic and corporate education, with presence across multiple Brazilian states. We have a multidisciplinary team aligned with technology and possessing solid experience in education. We deliver the best learning experiences and modern teaching methodologies, maximizing outcomes through: Distance learning platforms, educational system development, publishing and studio services, educational management platforms, and corporate education, among others. As a **Plenary Data Analyst**, you will be responsible for: * Developing, maintaining, and enhancing efficient, secure, and scalable data pipelines; * Strategically participating in data migration projects, ensuring data consistency, quality, and reliability; * Organizing and structuring the Data Warehouse to facilitate data consumption by business areas; * Identifying performance bottlenecks in Oracle and PostgreSQL environments and proposing technical and performance improvements; * Creating and maintaining up-to-date documentation, including data lineage and data dictionaries. What You Need: * Bachelor's degree in Computer Science, Data Science, or related fields; * Proven experience with relational databases, especially Oracle (PL/SQL) and PostgreSQL; * Advanced SQL skills, with solid experience handling large data volumes and query optimization; * Experience with Google BigQuery; * Solid knowledge of Data Warehousing, dimensional modeling (Star Schema and Snowflake), and ETL/ELT processes; * Demonstrated experience in data migration projects, whether between relational databases or in on\-premise to cloud transition scenarios.