EY GDS Consulting AI And DATA AWS Data Engineer Senior

At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.

EY GDS Data and Analytics - D and A AWS Data Engineer - Senior

As part of our EY-GDS Data & Analytics (D&A) team you will help clients solve complex business challenges using data-driven solutions. Our work spans across industries such as Banking Insurance Manufacturing Healthcare Retail Supply Chain Finance and more. We help organizations unlock insights modernize their data ecosystems and enable scalable analytics platforms.

The Opportunity

We are looking for skilled AWS Data Engineers with strong hands-on experience in PySpark SQL ETL pipelines AWS services and modern data lakehouse/lake architectures. This is an excellent opportunity to join a fast-growing D&A practice within EY working on high-impact enterprise-scale data projects.

Key Responsibilities

• Develop optimize and deploy scalable ETL/ELT pipelines using PySpark SQL and AWS services.
• Build and manage data lakehouse solutions leveraging AWS S3 Glue Iceberg and other AWS-native components.
• Migrate on premises ETL workloads to modern AWS-based architectures with a focus on performance reliability and cost efficiency.
• Implement metadata-driven ingestion frameworks and medallion/layered architecture (Bronze/Silver/Gold).
• Work on orchestration frameworks such as Astronomer (Airflow) AWS Step Functions or AWS-managed workflows.
• Design and optimize Spark-based data processing jobs for high throughput.
• Follow data warehouse (DW) concepts and best practices for modeling and data integration.
• Collaborate with data analysts data scientists and BI engineers for seamless data delivery.
• Perform code reviews troubleshoot issues and ensure end-to-end data quality.
• (Optional) Leverage Databricks for PySpark Delta Lake Lakehouse or workflow orchestration where applicable.

Skills and Attributes for Success

• 4 years of total IT experience with at least 2 years in AWS-based data engineering.
• Strong hands-on experience in:
  • PySpark SQL Python
  • ETL pipeline development
  • AWS services: S3 Glue Lambda Step Functions CloudWatch
  • Unix/Linux environments
  • Iceberg table format
  • Astronomer (Airflow) or other orchestration tools
• Experience with structured and semi structured data formats such as Parquet JSON CSV XML.
• Understanding of data warehousing concepts star/snowflake schemas and dimensional modeling.
• Good knowledge of CI/CD version control (GitHub Azure DevOps Jenkins).
• Strong analytical troubleshooting and problem solving skills.
• Ability to work independently and collaborate with stakeholders to deliver high quality solutions.
• (Optional but good to have) Experience working with Databricks Delta Lake or Unity Catalog.

To Qualify You Must Have

• Bachelors or Masters degree in Computer Science IT or related field.
• 47 years of industry experience in data engineering.
• Production-grade experience building and managing AWS data pipelines.
• Hands-on experience with Agile/Scrum delivery models.
• Strong communication and stakeholder management skills.
• Proactive self driven approach with ownership of deliverables.

Ideally Youll Also Have

• Client-facing and stakeholder management experience.
• Experience working in large-scale multi-environment data platforms.

What We Look For

• Technically strong curious and adaptable professionals who enjoy solving challenging data problems and continuously learning new technologies in a fast-moving environment.

What Working at EY Offers

• Opportunities to work on diverse meaningful and industry-leading projects.
• Coaching learning programs and a personalized growth and development plan.
• Exposure to a collaborative interdisciplinary work culture.
• Flexibility to manage your work in the way that suits you best.
• Supportive colleagues and a global environment for continuous knowledge exchange.

EY Building a better working world

EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.