Engineer responsible for application solutions in construction, providing technical support and conducting continuous updates. Focuses on market engagement through collaboration with various stakeholders.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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