Data Engineer / Developer

Description

Job Summary: A global company is seeking a Data Engineer / Developer to work in the tech area, implementing, managing, and maintaining data pipelines and developing automation solutions. Key Highlights: 1. Global involvement in data pipeline development and management 2. Focus on continuous improvement and technological innovation 3. Development of automation and data integration solutions **Company Description** A globally present company is seeking a Data Engineer / Developer. **Job Description** Your main responsibilities will be in the tech development area, specifically implementation, management, and maintenance of various data pipelines and development of process automation solutions. You will be responsible for keeping the company's current pipelines operational, pursuing continuous improvements, and introducing potential innovations through implementations of frameworks and technology stacks that enhance process quality. It is important that you possess adaptability to navigate across different business areas—particularly Marketing and Communications—and have a strong developer mindset with solid technical capability. * Requirements gathering, architecture design, analysis, development, and deployment of projects based on Business Intelligence and Data Science technologies; * Extraction, transformation, and storage of data across multiple layers of cloud-hosted data, populated via batch or streaming data pipelines; * Identification of infrastructure requirements for Business Intelligence and Data Science solutions; * Definition of components, integration, and implementation of Business Intelligence and Data Science solutions; * Development of services using APIs; * Design, development, testing, monitoring, management, and validation of data warehouse activities, including extraction, transformation, movement, loading, cleansing, and updating of data. **Qualifications** * Completed undergraduate degree; * Solid experience with Python and SQL; * Solid experience in creating and maintaining data transformation pipelines (ETL/ELT); * Experience in data analysis and modeling; * Experience developing REST APIs with FastAPI, Django, or Flask; * Solid experience with Apache Airflow; * Solid experience with Apache Spark; * Solid experience with SQL and NoSQL databases (at least one framework from each category); * Solid experience with Linux servers; * Strong knowledge of Linux Shell; * Experience with columnar-model data warehouses (implementation and maintenance); * Experience with dashboard tools (preferably DataStudio or PowerBI); * Familiarity with software development best practices; * Experience with GitHub and version control methodologies; * Experience in software development or similar roles; * Advanced technical English; * Self-motivated and self-managed. **Additional Information** * Experience in microservices development; * Experience with **Linode**, GCP, or Azure; * Experience with Docker; * Knowledge of Hashicorp Vault; * Experience with Pentaho; * Basic knowledge or hands-on experience with Digital Media (Google Analytics, Facebook Ads, AdWords, etc); * Interest and knowledge in Machine Learning and Artificial Intelligence. * **Employment Type: CLT.** * **Work Format: Fully Remote (100%) or Hybrid;** * Meal allowance (Alelo); * Transportation allowance (if hybrid format); * Culture allowance; * GymPass; * Birthday day off; * Amil health and dental insurance, with option to include dependents; * Six-month-and-twenty-day parental leave, including for adoptive parents and same-sex couples.