Analytics Engineer

Description

Job Summary: We are looking for talented and passionate individuals to design, develop, and implement scalable and efficient data pipelines while ensuring data quality and performance. Key Highlights: 1. Design and develop scalable and efficient data pipelines 2. Ensure data quality and performance 3. Develop Power BI dashboards for decision-making ***Keyrus believes in diversity and inclusion. We encourage everyone to participate in our hiring process, regardless of gender, age, race, or religion. We do not tolerate any form of discrimination. This principle is reinforced throughout our hiring process and lived daily within the company.*** We know that outstanding results are achieved only with an outstanding team; therefore, we seek talented and passionate individuals who desire professional growth and wish to build a career path with us. **Roles and Responsibilities:** Design, develop, and implement scalable and efficient data pipelines using Azure Databricks, Airflow, and PySpark. Ensure data quality, reliability, and performance through sound engineering practices, governance, and continuous monitoring. Investigate, analyze, and resolve issues related to data integrity, availability, and performance. Develop and maintain end-to-end dashboards in Power BI, translating large volumes of data into clear, intuitive, and decision-oriented visualizations. Collaborate on creating and evolving data solution features and improvements, always aligned with strategic business needs. Participate in technical discussions, contributing to the continuous improvement of the company’s data architecture and engineering standards. Self-managed, analytical, and problem-solving oriented profile, with strong interest in learning new technologies and applying innovations to solve complex data challenges. **Essential Qualifications:** Proficiency in Power BI (end-to-end). Practical experience with Azure ecosystem services such as Azure Databricks, Azure Storage, Azure SQL, Azure Data Lake, and Azure Synapse Analytics. Knowledge of MLE and data pipelines. Strong understanding of statistical concepts and A/B testing. Experience in reverse engineering to understand legacy system flows and processes. Experience working in agile environments (Scrum, Kanban), promoting iterative, collaborative, and high-value deliveries. Knowledge of data architecture and ETL/ELT best practices, ensuring robust, optimized, and scalable solutions. Experience with monitoring and observability tools (Azure Monitor, Datadog, ELK). Our mission is to help companies unlock the full potential of Data and Digital to enhance performance, drive transformation, and generate new levers for growth and competitiveness. Join the Keyrus Team! If you’d like to learn more about us, we invite you to visit our website: http://www.keyrus.com/br/ ***Good luck!***