Role Overview
As a Data Engineer III at Inter, you will be part of our international team, acting on data demands from global projects at Inter. You will implement scalable and efficient data pipelines, monitor resources and costs of developed solutions, and develop codes and solutions with a focus on clean code, good practices, and efficiency.
What You Will Do
Your daily routine will include implementing data pipelines, monitoring resources and costs, developing codes and solutions, performing infrastructure provisioning, and providing integrations of applications and data services between systems.
Why It Might Be a Fit
We are looking for a candidate with proficiency in Python and SQL, knowledge in Spark, and experience in using big data tools such as Apache Spark, Apache Kafka, and Apache Airflow. You will also collaborate with other engineering, data science, and data analysis teams to develop data solutions that drive efficiency and data-driven decision-making.
Requirements
- Proficiency in Python and SQL
- Knowledge in Spark (PySpark)
- Proven knowledge with AWS
- Knowledge in big data tools such as Apache Spark, Apache Kafka, and Apache Airflow
- Experience in relational and non-relational databases
- Understanding of data lakes and data warehouses concepts
- Ability to troubleshoot technical problems related to infrastructure and data processing in AWS
- Knowledge in batch and streaming architectures
- Familiarity with version control systems, such as Git
- Good communication skills
Benefits
- Meal and meal vouchers
- Health and dental plan
- Life insurance
- Birthday Off
- Baby On Board and Nursing Room
- Extended parental leave
- Childcare/ babysitter and/or assistance for children with disabilities
- Wellhub and Inter Running Group
- CARE4U (Belo Horizonte) space
- SuperApp benefits
- Inter Prime Card
- Internal training and capacity programs
To apply for this job please visit boards.greenhouse.io.

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