About this role
About the Role EY GDS is actively recruiting a Data Engineer to join our team. You will design, build and maintain data products and systems at scale, ensuring data quality and high performance for analytics and machine learning. What You'll Do
- Design, build and maintain data products and systems for collecting, storing and processing data at scale, ensuring data quality, high performance processing and serving data ready for Business Analytics and Machine Learning models.
- Collaborate with stakeholders to translate client needs into actionable insights that enable data-driven decisions.
- Adhere to and document development best practices for ETL/ELT, near real-time and real-time processing and data serving; implement QA and automated deployment pipelines. What We're Looking For
- Minimum 4 years experience as Data Engineer implementing solutions on Databricks on AWS/Azure.
- 1 year experience as Data Engineer implementing Databricks on AWS/Azure (Nice to Have).
- Proven experience designing and implementing enterprise data solutions; hands-on with Data Warehouse, Data Lake and Lakehouse (Databricks required).
- Experience creating reports/dashboards/KPIs with Power BI or Tableau.
- Experience integrating data product solutions with Data Cataloging, Data Lineage and Master Data Management tools.
- Experience applying best practices for data quality, security and performance; experience with CI/CD strategies and tools.
- Bachelor's or Master's degree in Computer Science or related field; strong proficiency with Databricks on AWS and cloud platforms (AWS/Azure).
- Excellent communication and consulting mindset; eager to learn and implement new technologies. Nice to Have
- Nice to have: 1+ year Databricks experience on AWS/Azure and strong proficiency in Data Modeling, storage, partitioning and optimization. Compensation & Benefits
- Salary: Competitiva