EY

Senior Cloud Data Engineer

EY

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Job Level

Senior

Tech Stack

AzureCloudETLPySparkPythonSQL

About the role

  • Develop and maintain robust, scalable data pipelines in cloud environments (Azure).
  • Design and maintain relational and dimensional data models, with schemas optimized for analytical consumption.
  • Collaborate with analysts and business stakeholders to ensure the delivery of reliable, well-structured data.
  • Ensure data governance, quality, and security throughout the entire process.

Requirements

  • Degree in Computer Science, Information Systems, Systems Analysis and Development, or related fields;
  • Strong experience with Azure Data Services: Data Factory, Synapse Analytics, Data Lake, among others.
  • Proficiency in languages such as Python, SQL, and PySpark.
  • Knowledge of ETL/ELT, data integration, and pipeline automation.
  • Experience with data modeling (relational and dimensional).
  • Familiarity with Power BI and an understanding of how to structure data for efficient visualizations.
  • Ability to work in complex, high-volume data environments.
Benefits
  • Visit go.ey.com/beneficios to learn about our range of benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLPySparkETLELTdata integrationpipeline automationdata modelingrelational data modelsdimensional data models
Soft Skills
collaborationcommunicationdata governancedata qualitydata security