AWS Engineer - Senior Associate, AI & Data, Technology Consulting

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that businesses, people and the planet can thrive together.

We’re all in, are you?

Join EY and shape your future with confidence.

About The Opportunity EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms, and advanced data analytics solution systems that help grow, optimize, and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers, and consultants in the region.

We are seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines and analytics platforms on Amazon Web Services. This role focuses on transforming raw data into trusted, analytics-ready datasets to support reporting, insights, and advanced analytics use cases.

Your Key Responsibilities

• Design and develop end-to-end data pipelines (batch and near-real-time)
• Ingest data from multiple sources (databases, APIs, applications, third-party systems)
• Transform, clean, and curate data for analytics and reporting use cases
• Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
• Develop ETL/ELT workflows using Glue, Lambda, and orchestration tools
• Ensure data quality, reliability, and scalability of pipelines
• Optimize data models, partitioning, and query performance
• Improve pipeline efficiency and manage cloud cost usage
• Monitor data jobs and resolve failures proactively
• Implement data access controls using IAM
• Support encryption, data lineage, and governance standards
• Ensure compliance with data protection and regulatory requirements
• Work closely with Data Analysts to deliver analytics-ready datasets
• Partner with Data Scientists to support ML and advanced analytics needs
• Collaborate with Cloud/Platform Engineers on infrastructure best practices

To qualify for the role, you must have

• Minimally 3 years' experience in data engineering (AWS)
• Bachelor's degree in computer science, Engineering, or related field
• Strong experience with AWS data services (S3, Glue, Athena, Redshift)
• Proficiency in SQL and Python
• Experience building and maintaining production data pipelines
• Understanding of data modelling (star/snowflake schemas)

Ideally, you’ll also have

• Streaming experience (Kinesis, Kafka)
• Workflow orchestration (Airflow, Step Functions)
• Infrastructure as Code (Terraform / CloudFormation
• Exposure to BI tools (Power BI, Tableau, QuickSight)

What We Look For Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.

An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What Working At EY Offers EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.