Senior Data Engineer

Description

Job Summary: We are seeking a passionate Senior Data Engineer with a strong interest in data, technology, and innovation to work on challenging projects and contribute to the digital transformation of the financial sector. Key Highlights: 1. Working on challenging projects in the financial sector 2. Collaborating with multidisciplinary teams 3. Opportunity to grow in a global and inclusive environment **Senior Data Engineer** At EY, we are committed to shaping your future with confidence. We will help you succeed in a globally connected environment filled with diverse teams and advance your career wherever you wish to go. Join EY and help\-us build a better business world. **About the opportunity:** If you are passionate about data, technology, and innovation, this is your chance to work on challenging projects, collaborate with professionals from different fields, and contribute to the digital transformation of the financial sector. At EY, you will have the opportunity to apply your technical skills in dynamic environments, drive high-impact solutions, and grow your career within a global and inclusive context. **Your responsibilities will include:** Collaborating with multidisciplinary teams and communicating\-effectively to achieve shared goals. Solving complex problems by developing creative and innovative solutions. Applying critical thinking to analyze data, identify patterns, and make evidence-based decisions. Pursuing continuous learning and adapting\-to new technologies and trends to enhance your skills and contribute to project success. **Requirements and skills we seek:** * Bachelor’s degree completed or in progress in Computer Science, Mathematics, Statistics, Economics, Business Administration, Engineering, or related fields. * Proficiency in Python for scripting, data manipulation, and ETL solutions. * Knowledge of SQL for database manipulation and querying. * Experience with PySpark for data manipulation. * Experience with Apache Spark for large-scale data processing. * Knowledge of Hadoop for data storage and processing. * Use of GitHub for version control and project collaboration. * Knowledge of Power BI or other data visualization tools. * Preferred qualifications: Experience with ElasticSearch, domain expertise in the financial sector, Cloud Computing certifications, Databricks certifications, familiarity with DevOps tools, and Generative AI. Visit go.ey.com/beneficios to explore our universe of **benefits**. **What we offer:** At EY, you will develop future-ready skills and gain world-class experiences. We will empower you in a flexible environment and amplify your extraordinary talents within a diverse and inclusive culture supported by globally connected teams. For the fourth consecutive year, EY has been named one of the best companies to work for on the Great Place to Work list, especially recognized for diversity. You can join our programs and affinity groups, along with numerous internal initiatives, all supporting our ongoing pursuit of equity. Would you like to shape your future with confidence? Apply today! To help create the best experience during the recruitment process, please describe any accessibility needs you may have. Learn more about working at EY: Careers at EY LinkedIn @EY Instagram @eybrasilcarreiras