Data Engineer (Azure)

Description

Job Summary: We are seeking a professional to design and implement scalable data architectures on Azure, optimize ETL pipelines, and ensure data governance. Key Highlights: 1. Will work with scalable data architectures on Azure and ETL pipelines. 2. Partner with data scientists and analysts to ensure clean and structured data. 3. Will implement data governance policies and continuous improvements. ***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 commitment is reinforced throughout our hiring process and lived daily within the company.*** We know that outstanding results are achieved only through exceptional teams; therefore, we seek talented and passionate individuals eager to grow professionally and build a career path with us. **Roles and Responsibilities:** Design and implement scalable data architectures on Azure, ensuring data is integrated and made efficiently available across various business units. Develop, manage, and optimize ETL pipelines; monitor databases; ensure information security and integrity; and automate processes to increase operational efficiency. Collaborate with data scientists and analysts to ensure data is clean, structured, and ready for analysis. Implement data governance policies, monitor compliance with regulations, maintain system functionality, and carry out continuous improvements as needed. **Essential Qualifications:** Strong expertise in key Azure data services, including Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake. Proficiency in SQL, Python, and Scala, plus hands-on experience with ETL tools—especially Azure Data Factory. Expertise in data modeling, both relational and non-relational, and knowledge of Big Data technologies such as Hadoop, Spark, and Kafka. Experience with data security practices—including encryption and access control—is also required. Familiarity with DevOps practices using tools like Azure DevOps for pipeline automation (CI/CD). Strong problem-solving skills, effective communication with both technical and non-technical audiences, collaborative work ethic, and ability to manage multiple concurrent demands. **Desirable Qualifications:** Familiarity with data visualization tools such as Power BI, and knowledge of various storage types—including relational databases, NoSQL, and data lakes. Experience developing and managing APIs for cross-system data integration is also valued. **Preferred Differentiators:** Advanced English proficiency. Our mission is to help companies unlock the full potential of Data and Digital to enhance performance, drive transformation, and generate new growth levers and competitive advantage. Join the Keyrus Team! If you’d like to learn more about us, please visit our website: http://www.keyrus.com/br/ ***Good luck!***