DATA ENGINEER III

Get to Know Inter Pioneers, we changed the market by launching Brazil's first digital bank and continue to create trends with cutting-edge technology. We have evolved into a Global Financial Super App, with complete solutions and top-tier innovation. Here, work has purpose: building real opportunities, transforming people's lives, and the financial market. This is our Inter Way of Doing. If you want to be part of this change and leave a legacy, your place is here.

Come be Sangue Laranja.

About the job and mission of the role

You will be part of our International team, working on data demands for Inter's global projects.

In your day-to-day, you will:

• Implement scalable and efficient data pipelines;
• Monitor resources and costs of developed solutions;
• Develop code and solutions with a focus on clean code, best practices, and efficiency;
• Perform infrastructure provisioning related to data (Terraform);
• Perform optimization in data pipelines;
• Provide integrations of applications and data services between systems;
• Collaborate with other engineering, science, and data analysis teams to develop data solutions that drive efficiency and data-driven decision-making.

What we are looking for

Mandatory:

• Proficiency in Python and SQL;
• Knowledge of Spark (PySpark);
• Proven knowledge of AWS;
• Knowledge of big data tools such as Apache Spark, Apache Kafka, and Apache Airflow, and experience using them to build data pipelines;
• Knowledge of the main AWS services used in data engineering, such as Amazon S3 for data storage, AWS Glue for ETL, EMR;
• Experience with relational and non-relational databases, such as MySQL, PostgreSQL, and/or NoSQL (for example, MongoDB), and the ability to optimize queries and data modeling;
• Understanding of data lake and data warehouse concepts, and experience designing and implementing solutions using AWS services, such as Amazon S3 and Amazon Redshift;
• Knowledge of distributed architecture, data streaming concepts, and the use of open-source tools;
• Basic knowledge of AWS security practices, such as configuring access policies and data encryption, and compliance with security regulations;
• Ability to solve technical problems (troubleshooting) related to infrastructure and data processing on AWS;
• Knowledge of batch and streaming architectures;
• Familiarity with version control systems, such as Git, and clean code best practices;
• Good communication skills to work in a team and collaborate with other areas, such as data scientists, software engineers, and business analysts;
• English for reading.

Desirable:

• Governance tools: Datahub.
• Familiarity with Kubernetes.
• Streaming with Apache Kafka.
• Fluent English.

Benefits

• Food voucher and Meal voucher
• Health and dental insurance
• Life insurance
• Birthday DayOff
• Baby On Board and Breastfeeding Room
• Extended parental leave
• Daycare/nanny allowance and/or assistance for children with disabilities
• Wellhub and Inter Running Group
• CARE4U Space (Belo Horizonte): self-care services with exclusive prices, decompression area, games, and mini golf course
• Advantages in our SuperApp, such as Duo Gourmet
• Prime Inter Card
• Internal training and development programs

Selection Process Stages

• Resume screening;
• Screening (initial approach to align expectations about the job);
• Assessments;
• Interview with the Talent Team;
• Technical test (when necessary);
• Interview with leadership;
• Job Offer;