Data Engineer – CRE

🕒 5 days 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

• Develop and optimize data pipelines. • Integrate multiple information sources. • Ensure data availability and quality for analytical and operational consumption. • Develop and maintain data pipelines using AWS services, especially Glue, Athena and S3. • Design and implement ETL processes and data integration between different corporate systems. • Consolidate data from multiple sources into centralized, scalable environments. • Develop complex SQL queries for data transformation, modeling and analysis. • Ensure data quality, performance, reliability and data governance. • Support initiatives to migrate data platforms to AWS. • Work on the evolution of cloud data architectures. • Create and maintain dashboards, reports and analytical solutions using data visualization tools. • Monitor production environments, identify bottlenecks and resolve incidents. • Collaborate with Product Owners, business stakeholders and technical teams to translate business needs into data solutions. • Participate in agile ceremonies and contribute to the continuous improvement of development processes. • Support Data Analytics, Business Intelligence and Data Platform initiatives.

🎯 Requirements

• Fluent in English. • Bachelor's degree in Computer Science, Information Systems, Engineering or related fields. • Solid experience in Data Engineering. • Strong experience with AWS, especially: • AWS Glue • Amazon Athena • Amazon S3 • Strong knowledge of data modeling and integration. • Experience developing ETL pipelines. • Advanced SQL skills. • Experience consolidating data from multiple sources. • Experience in complex corporate environments and with large data volumes. • Knowledge of data architecture and analytical platforms. • Troubleshooting and problem-resolution skills in production environments. • Good communication skills for interacting with technical and business areas. • Experience working with agile methodologies. • AWS Certified Data Engineer will be considered a plus. • AWS Solutions Architect or Data Analytics certifications will be considered a plus. • Experience with Alteryx will be considered a plus. • Experience with data visualization tools such as Tableau or ThoughtSpot will be considered a plus. • Knowledge of financial services, insurance or large data-driven companies will be considered a plus. • Participation in data migration projects to AWS will be considered a plus. • Knowledge of Data Analytics and Business Intelligence will be considered a plus. • Experience with modern data and analytics ecosystems will be considered a plus.

🏖️ Benefits

• Food allowance • Meal voucher • Transportation allowance • Health insurance • Dental assistance • Corporate University • Other educational benefits • Wellhub • Profit-sharing (PLR)