Cloud Data Engineer

. Monitor the stabilization of the pipeline in Production .

Posted 4/21/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tools & technologies

AzureHadoopPySparkSQL

Key responsibilities & impact

Monitor the stabilization of the pipeline in Production
Oversee deployment activities
Build data pipelines, from extracting data from various available data sources to ingesting and structuring the data in the corporate Data Lake
Create PySpark jobs for data processing
Log activities in the client's official tools (Jira, Confluence, Bitbucket)
Develop and maintain decision engines using FICO DM and DMPS
Implement and execute unit tests, ensuring code quality
Collaborate with development teams on integration testing
Contribute to technical documentation and team best practices

What you’ll need

Degree in Statistics, Computer Science, Software Engineering, Information Systems, Physics, or related fields
Experience as a Data Engineer
Proficiency in PySpark, SQL, Databricks, Git, Hive, Hadoop, and Azure
Experience with DevOps practices and tools
Experience developing and maintaining rules in decision engines using FICO DM and DMPS
Experience configuring and customizing event flows in FICO DMPS
Experience processing and analyzing real-time events in FICO DMPS
Knowledge of the FICO platform (DMPS, Blaze, and DM components)
Knowledge of modeling and managing business rules effectively

Comp & perks

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Hard Skills & Tools

PySparkSQLDatabricksGitHiveHadoopAzureFICO DMFICO DMPSunit testing

Soft Skills

collaborationtechnical documentationbest practices