Associate Data Engineer

🔥 6 minutes ago

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EY

WebsiteLinkedInAll Job Openings

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

• Create, develop, and maintain scalable and efficient big data processing pipelines within distributed computing environments. • Design, develop, and implement interactive Power BI reports and dashboards tailored to the needs of different business units. • Work collaboratively with cross-functional teams to gather data requirements and design suitable data solutions. • Execute data ingestion, processing, and transformation workflows to facilitate various analytical and machine learning applications. • Keep updated with emerging technologies and best practices in data processing and analytics, integrating them into our data engineering methodologies. • Possess expertise in data modelling, data warehousing principles, data governance best practices, and ETL processes. • Demonstrate excellent written and verbal communication skills, with strong capabilities in documentation, presentation, and data storytelling. • Have experience in utilizing and fine-tuning large language models (LLMs) and developing generative AI solutions.

🎯 Requirements

• Over 2 years of experience as a data analyst or data engineer. • Bachelor’s degree in a relevant field. • Strong proficiency in SQL. • Solid understanding of Azure data engineering tools, particularly Azure Data Factory. • Familiarity with Python programming skills. • Competent in using Azure Databricks. • Expertise in Power BI and other Power Platform tools, including Power Apps and Power Automate. • Knowledge of large language models and generative AI tools. • Experience in a multi-cloud environment is advantageous.