Hybrid Mid-level Cloud Data Engineer

Posted last month

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About the role

  • Data Engineer in EY working on data pipeline migration and optimization. Join a global team in a Big Four company focused on performance and quality.

Responsibilities

  • The professional will work in an engineering squad handling migration and modernization of pipelines.
  • The professional will be responsible for migrating, developing and optimizing data pipelines, ensuring operational quality and performance.

Requirements

  • Completed or in-progress degree in Computer Science, Information Systems, Systems Analysis and Development, or related fields;
  • Proven experience in complex data environments, with involvement in data construction, modeling and architecture projects;
  • Knowledge of PySpark (PySpark API and PySpark SQL) for building and reviewing quality rules in data products;
  • Programming skills for maintaining legacy code (quality engine) using Python;
  • Databricks: creating and testing scripts in Python (API or SQL), and experience building Workflows;
  • Experience with CI/CD development pipelines and GitHub;
  • Atlassian ecosystem: Jira, Bitbucket, Bamboo, Confluence for production pipelines and documentation;
  • Knowledge of relational data modeling (3NF) and dimensional modeling (star/snowflake);

Benefits

  • Visit go.ey.com/beneficios to learn about our range of benefits.

Job title

Mid-level Cloud Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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