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Data Engineering Tech Lead-CDAO0006-
Job description
Requisition Id: 1662967
As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.
The opportunity :
| Data Engineering Tech Lead-CDAO0006- |
EY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach focuses on driving long-term value for our clients by solving their most strategic problems. EY Consulting is made up of three sub-service lines: Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting and People Advisory Services.
Roles:
| The Data Engineer, Senior Specialist is responsible for designing, developing and optimizing data pipelines and architectures to support scalable and efficient data processing. This role involves working with complex datasets, integrating multiple data sources and ensuring high data quality and reliability. |
Roles & Responsibility:
| Develop and maintain efficient ETL (Extract, Transform, Load) pipelines that ingest, process and transform large datasets from diverse sources. Build and manage data storage solutions using relational and non-relational databases, ensuring high availability, performance and scalability. Work with APIs, third-party data sources and internal databases to create unified datasets that provide actionable insights for business stakeholders. Partner with business intelligence analysts, data scientists and software engineers to design and implement data-driven solutions that meet business requirements. Design optimized data schemas and structures that support analytical workloads and improve query performance. Leverage orchestration tools like Apache Airflow or Prefect to automate ETL workflows and improve operational efficiency. Provide technical guidance, review code and promote best practices within the data engineering team. |
Experience
- 8+ years
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.
What we offer
Fuelled by the brilliance of our people, EY has emerged as the strongest brand and the most attractive employer in our field, with market-leading growth over competitors. Our people work side-by-side with market-leading entrepreneurs, game-changers, disruptors, and visionaries. As an organization, we are investing more time, technology, and money than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills, and opportunities.
EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people—enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in shaping the future with confidence. Apply Now
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