Data Engineer SR

Come be an Ituber & come make Itaú happen

Itaú is the most valuable brand in Brazil, the best company to work for according to Great Place to Work, and the largest bank in Latin America. We impact more than 98 million customers every day across 18 countries.

We are made of people, and we believe that having a workforce with a plurality of backgrounds, cultures, beliefs, experiences, races, disabilities, genders, affective-sexual orientations, and generations broadens perspectives and contributes to an environment of respect and appreciation for differences. We don’t want you just because we think you look like us. We want to have a little of you as well, too!

What do you need to become an Ituber?

We are looking for people who want to continuously grow and learn, sharing, collaborating, innovating, and delivering value to all of our customers.Here, we don’t know everything — we move forward together as a team.

What is the day to day like for an Ituber in this area?

• Design, build, and continuously evolve scalable, resilient, and high‑performance data pipelines, supporting a wide range of analytical, operational, and data science use cases.
• Promote the democratization of data access, ensuring datasets are reliable, well documented, properly governed, and easily consumable by analysts, data scientists, and business teams.
• Develop ETL/ELT pipelines using Python, SQL, and Spark/PySpark, processing large volumes of data in distributed environments.
• Implement and maintain data solutions on AWS, leveraging services such as S3, Glue, EMR, Lambda, Redshift, Athena, Kinesis, and MWAA (Airflow), with a strong focus on efficiency, cost optimization, and scalability.
• Define and apply analytical data models (Data Warehouse, Data Lakehouse), ensuring adherence to best practices for performance, usability, and data consumption.

Required Technical Skills

• Advanced / Fluent English – Mandatory
• Strong proficiency in Python for building data pipelines, automation, and data processing workflows.
• Advanced knowledge of SQL, including complex queries, window functions, CTEs, and performance optimization.
• Hands-on experience with Apache Spark / PySpark for large-scale, distributed data processing.
• Solid experience designing and implementing ETL/ELT pipelines in cloud-based and distributed environments.
• Proven experience with AWS data services, including:

Storage & Data Lake: Amazon S3, AWS Lake Formation

Processing: AWS Glue, EMR, Lambda

Analytics & Warehousing: Amazon Redshift, Athena

Streaming: Kinesis Data Streams / Firehose

Orchestration: MWAA (Managed Airflow), Step Functions

• Strong understanding of analytical data modeling, including Data Warehouse (Star/Snowflake schemas) and Data Lakehouse architectures.

By becoming an Ituber, you will have:

• Transportation allowance
• Meal allowance (restaurants) / Food allowance (supermarkets)
• Medical plan (Fundação Saúde Itaú or Central Nacional Unimed)
• Dental plan (Odontoprev or Interodonto)
• Life insurance
• PLR – Profit Sharing Program (subject to the bank’s results)
• Private pension plan
• Exclusive discounts on our financial products
• Extended maternity and paternity leave
• Childcare / nanny assistance (for parents)
• Education incentives
• Wellhub or TotalPass
• Access to Itaú Leisure Clubs (Guarapiranga, Itanhaém, and São Sebastião)
• Plus additional benefits you can learn about during the recruitment 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 our positions. Please feel free to apply for roles identified as exclusive or non‑exclusive for people with disabilities. We are committed to inclusion and value diversity.

#ComeToItaú #BeAnItuber