AWS Data Engineer

Description

Job Summary: At EY, you will have the freedom and tools to build a unique career, working as an AWS Data Engineer on international financial projects. Key Highlights: 1. Freedom and tools to build a unique career 2. Work on international financial projects 3. Opportunities for growth and development We know careers can be as diverse as the people themselves. That’s why, at EY, you’ll have the freedom, tools, and environment to develop and build a career as unique as you are. In Tech Financial Services (Tech FSO), we are building a better business world by supporting the technological needs and challenges of our financial services clients (Capital Markets, Banks, Fintechs, Insurance, and Asset Management). We deliver tailored solutions based on each business’s specific needs, leveraging a multidisciplinary team of specialists with diverse profiles—including Data Specialists, UX professionals, Business Analysts, and Scrum Masters. **\#TechEY \#TechFSO** **What will your role be in this mission?** As an **AWS Data Engineer**, you will work with a major client on an international project, with opportunities for growth across various areas within the financial sector. You’ll have access to tools, knowledge, and opportunities to advance and be ready to help build a better business world for our people, clients, and the communities that support us. **Why you?** If you meet the requirements below, this opportunity may be for you: * Bachelor’s degree in Information Systems, Computer Science, Data Engineering, or related field; * Advanced/Fluent English — C2 level (international client interaction required); * Proven experience developing on AWS, with focus on Glue, Spark, and Redshift; * Proficiency in programming languages such as Python or Scala for data processing; * Strong understanding of data warehousing concepts and best practices; * Experience with SQL and database management systems is required. **Key Responsibilities:** * Design, develop, and implement data solutions on AWS using Glue, Spark, and Redshift. Collaborate with data engineers and data scientists to understand data requirements and translate them into scalable data pipelines; * Create and manage ETL processes using AWS Glue to extract, transform, and load data from multiple sources; * Optimize Apache Spark data processing workflows to ensure efficient data handling and analysis; * Develop and maintain data models and schemas in Amazon Redshift to support reporting and analytics; * Monitor and troubleshoot data pipelines to ensure data quality and integrity; * Document data processes, architecture, and best practices for knowledge sharing and compliance. **What we offer:** Meal Allowance, Food Voucher, Transportation Voucher, Health Insurance, Dental Assistance, Corporate University and other Educational Benefits, Wellhub, Profit Sharing Program (PLR), and much more. Click here to explore our full universe of **benefits**. **Who we are**: We are one of the world’s largest professional services firms, delivering Audit, Consulting, Tax, Strategy, and Transactions services—technology-driven. With a presence in over 150 countries, you’ll have the opportunity to experience exceptional opportunities found only at EY—global reach, inclusive culture, and technology to help you become your best self. Here, we believe innovation is driven by the diversity of people and ideas. According to Great Place to Work 2022, we are the best company in Brazil for LGBTQ+ individuals and the 2nd best for Women and Black people. You’ll be able to join our programs and affinity groups—which, together with numerous internal initiatives—support our ongoing pursuit of equity. Ready to feel challenged, motivated, and valued every day? Inspire change and leave a legacy? **Join our team and help us build a better business world!** Learn more about what it’s like to work at EY: Careers at EY LinkedIn @EY Instagram @eybrasilcarreiras **This opportunity is available in a hybrid model (with flexibility for remote work) at EY offices across Brazil.** **EY believes in equal opportunity. Regardless of gender, age, race, color, creed, sexual orientation, or disability, all qualified candidates will be considered in our recruitment processes.**