About this role
Design and operate enterprise-scale AWS Lakehouse platforms, focusing on the full data lifecycle from ingestion and transformation to reporting. Develop secure, governed data products and dashboards using dbt and Amazon QuickSight to enable AI-ready datasets and business intelligence.
Requires a bachelor's degree in a technical field and 3-5+ years of experience in data engineering with a focus on AWS, Spark, and dbt. Proficiency in data governance, DataOps, and enterprise reporting is essential, with certifications in AWS or dbt preferred.
What they're looking for
AWS LakehouseApache SparkdbtApache IcebergAmazon QuickSightAWS GlueApache AirflowTerraform
Frequently asked questions
What does a Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting) at EY do?
Design and operate enterprise-scale AWS Lakehouse platforms, focusing on the full data lifecycle from ingestion and transformation to reporting. Develop secure, governed data products and dashboards using dbt and Amazon QuickSight to enable AI-ready datasets and business intelligence. Requires a bac…
What skills does this Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting) role need?
Key skills for this role include AWS Lakehouse, Apache Spark, dbt, Apache Iceberg, Amazon QuickSight, AWS Glue.
How much does a Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting) at EY pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting) role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting) role?
You can apply directly on EY's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.