Senior Data Engineer – AWS

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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, and ensure data availability and quality for analytical and operational consumption. • Develop and maintain data pipelines using AWS services, particularly AWS Glue, Amazon Athena, and Amazon 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 evolving 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

• Fluency in English. • Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields. • Strong experience in Data Engineering. • Solid experience with AWS, especially AWS Glue, Amazon Athena, and Amazon S3. • Strong knowledge of data modeling and data integration. • Experience developing ETL pipelines. • Advanced SQL knowledge. • Experience consolidating data from multiple sources. • Experience in complex corporate environments with large-volume datasets. • Knowledge of data architecture and analytics platforms. • Troubleshooting skills and the ability to resolve issues in production environments. • Good communication skills for interacting with technical and business areas. • Experience working with agile methodologies. • AWS Certified Data Engineer (advantageous). • AWS Solutions Architect or Data Analytics certifications (advantageous). • Experience with Alteryx (advantageous). • Experience with data visualization tools such as Tableau or ThoughtSpot (advantageous). • Knowledge of financial or insurance environments, or large enterprises with a strong data culture (advantageous). • Experience participating in data migration projects to AWS (advantageous). • Knowledge of Data Analytics and Business Intelligence (advantageous). • Experience with modern data and analytics ecosystems (advantageous).

🏖️ Benefits

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