Job Summary: Develop and maintain complex ETL/ELT data pipelines, driving the evolution of the Analytics Platform and integrating multiple data sources while ensuring performance and governance. Key Highlights: 1. Work in high-volume and complex environments with Big Data 2. Collaborative work in agile squads 3. Technical mentoring and knowledge sharing . **Responsibilities and Duties** * Develop and maintain ETL/ELT data pipelines in high-volume and complex environments using Apache Spark (Scala and Python) and AWS; * Drive the evolution and expansion of the Analytics Platform, focusing on Big Data architectures and technologies; * Gather, analyze, and translate business requirements into technical data solutions; * Design and maintain analytical data models, metrics, and KPIs; * Integrate multiple data sources, including streams (Apache Kafka / MSK) and SQL and NoSQL databases; * Develop, operate, and evolve data pipelines in production environments; * Ensure scalability, performance, reliability, quality, and governance of information; * Prepare, process, and deliver data for analytical and operational consumption; * Automate pipeline and data environment creation, configuration, and monitoring; * Manage SLAs, troubleshoot failures, and resolve incidents in data flows; * Collaborate within agile squads, support technical decisions, and promote best practices in data engineering; * Contribute to technical mentoring and knowledge sharing across the team. **Requirements and Qualifications** * Proficiency in Python and Scala applied to data engineering; * Strong knowledge of SQL and PL/SQL; * Mandatory experience with Apache Spark (Batch and Streaming); * Solid hands-on experience with AWS, including Lambda, S3, Glue, and MSK; * Experience with relational databases (Oracle and Postgres); * Experience with NoSQL databases (Cassandra and ScyllaDB); * Experience with messaging and data streaming using Apache Kafka; * Experience in highly critical environments with stringent requirements for availability, security, and reliability; * Experience designing and maintaining data models, business metrics, and KPIs. Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI\-driven tools to design and build digital\-native platforms, integrating cutting\-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. **Join us and be part of the AI\-driven revolution.**