Data Engineer

Creditas is a leading digital platform in Latin America, focusing on three key ecosystems: auto, real estate, and corporate benefits. Founded in 2012, the company leverages proprietary technology to offer a unique experience across a wide range of products and services, including fintech solutions, digital insurance, and consumer solutions.

Our Product Technology team is at the heart of scaling our business, optimizing processes, reducing costs, and delivering the best experience to enable our clients' new achievements. We work with various programming languages in-house, making it ideal for those who, like us, love to challenge themselves and develop solutions to real problems.

As a Data Engineer at Creditas, you will:

• Develop new data products and maintain legacy pipelines using ETL techniques and data modeling.
• Ensure data quality and security in compliance with data protection regulations.
• Propose innovative solutions to data problems that directly impact the products and services offered by the business.
• Collaborate with the team to solve data problems, propose innovative solutions, and support the team's technical evolution.
• Interact directly with the business to understand requirements and translate them into data solutions.

We're looking for someone with:

• Advanced data modeling experience
• Strong experience in Python and SQL at an advanced level
• Experience with Big Data tools such as Spark, Kafka, and Airflow
• Experience working with AWS (S3, Redshift, EMR, Athena, Glue, DynamoDB)

It would be great if you also have knowledge of Terraform and batch and streaming data ingestion.

Join us at Creditas, where technology is our fuel, and making a difference is our passion. Embark with us on the Nave!