Senior Data Engineering Analyst - Finance Community

Description

Job Summary: We are looking for a Data Engineer passionate about technology to work on the Risk Marking product, proposing and developing innovative solutions within a collaborative team. Key Highlights: 1. Work in a collaborative and innovative team 2. Autonomy and space to create impactful solutions 3. Participate in discussions and design of data architecture Itaú is Brazil's most valuable brand, the best company to work for according to Great Place to Work, and the largest bank in Latin America. We impact over 98 million customers daily across 18 countries. We are made of people, and we believe that having a team with plural origins, cultures, beliefs, experiences, ethnicities, disabilities, genders, sexual orientations, and generations broadens perspectives and contributes to an environment of respect and appreciation for differences. Hybrid position based in São Paulo We are seeking a Data Engineer who wants to grow, learn, share, collaborate, and innovate—delivering value to all our customers. In this role, you will: If you are passionate about technology and seek a place where you can strategically apply data engineering, this opportunity is for you. You will join a collaborative team that thinks big and constantly pursues new solutions to transform our finance product. In this position, you will work directly on the **Risk Marking product**, which is currently undergoing a critical transformation phase. Here, you will propose, design, and develop innovative solutions, applying deep technical expertise in data engineering. We are advanced users of **Spark**, working extensively with various **AWS** tools. If you seek real challenges, autonomy, and space to build impactful solutions, this is your chance. Participate in discussions and design of data architecture focused on Data Engineering Development using **Python** and **Spark** Creation and maintenance of complex SQL queries Development using AWS data products and services (**Athena**, **Glue**, **Step Functions**, **Lambda**) Refinement of technical stories together with the Tech Lead Experience with **PySpark** **Python** **SQL** AWS: **Glue**, **Athena**, **Step Functions**, **Lambda** **Upon becoming an Ituber, you get\_** * Commuter Allowance * Meal Voucher (Restaurants) / Food Voucher (Supermarkets) * Health Plan (Itaú Foundation Health Plan **or** Central Nacional Unimed) * Dental Plan (Odontoprev **or** Interodonto) * Life Insurance * PLR – Profit and Results Sharing (subject to the bank’s performance) * Private Pension * Exclusive discounts on our financial products * Extended Maternity and Paternity Leave * Daycare / Babysitter Assistance (for parents) * Study Incentive * Wellhub or TotalPass * Access to Itaú Leisure Clubs (Guarapiranga / Itanhaém and São Sebastião) \+ Additional benefits you may learn about during the process * Learn more about our culture: https://www.itau.com.br/relacoes\-com\-investidores/noticias/cultura\-itubers\-e\-nosso\-novo\-conjunto\-de\-valores/ * We encourage applications from people with disabilities for all positions; therefore, feel free to apply to roles marked as exclusive or non-exclusive for people with disabilities. We are committed to inclusion and value diversity. **\#JoinItaú \#BeAnItuber**