Mid-level Cloud Data Engineer

November 25

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EY

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Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

10,000+ employees

Founded 1989

💸 Finance

📋 Description

• 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.