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EY

Cloud Data Engineer

EY

Data Engineer responsible for cloud data solutions in financial services at EY. Collaborating with multidisciplinary teams to enhance data management and decision-making solutions.

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

Tech Stack

Tools & technologies
AzureHadoopPySparkSQL

About the role

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

Requirements

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

Benefits

Comp & perks
  • Food allowance
  • Meal voucher
  • Transportation allowance
  • Health insurance
  • Dental insurance
  • Corporate university
  • Gympass
  • Profit-sharing (PLR)
  • Other educational benefits

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Hard Skills & Tools
PySparkSQLDatabricksGitHiveHadoopAzureFICO DMFICO DMPSunit testing
Soft Skills
collaborationtechnical documentationbest practices