EY
10,000+ employees
Founded 1989
💸 Finance
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.
Senior Data Engineer
🕒 February 7
🗣️🇧🇷🇵🇹 Portuguese Required
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EY
10,000+ employees
Founded 1989
💸 Finance
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.
📋 Description
• Design, develop, and maintain scalable, efficient data pipelines • Contribute to the design and evolution of modern architectures (Data Lake, Data Warehouse, Lakehouse) • Ensure data quality, security, and governance across data flows • Collaborate with product, data science, BI, and engineering teams • Serve as a technical mentor for junior data engineers • Support the definition of technical standards and data engineering best practices • Evaluate and implement tools to optimize data workflows and processing costs
🎯 Requirements
• Bachelor's degree • Experience building data pipelines • Strong experience with Python and SQL • Experience with Data Modeling • Experience with BigQuery for analytical queries and large-scale data environments • Experience with Google Cloud Platform (GCP), especially Cloud Storage (Buckets) and Composer (Airflow) • Knowledge of Databricks and large-scale data processing • Advanced English • Availability for occasional travel (15–25% of the time)
🏖️ Benefits
• Visit go.ey.com/beneficios to explore our benefits. • At EY, you'll develop future-focused skills and gain world-class experiences.
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