About the role
EY is seeking a Data Engineer (Associate/Senior Associate) for its Data & AI team in Singapore to design, build, and maintain scalable ETL/ELT pipelines, work with cloud and on‑prem data platforms, ensure data quality and governance, and collaborate with stakeholders on advanced analytics solutions.
ConsultingOnsite
Key Responsibilities
- Design, build, and maintain efficient, reusable, and scalable ETL/ELT pipelines for structured and unstructured data
- Develop and optimize data workflows to support advanced analytics, machine learning models, and reporting tools
- Collaborate with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability
- Work with cloud and on‑prem data platforms (AWS, Azure, GCP, Hadoop, SQL/NoSQL)
- Ensure data integrity, governance, and security best practices across pipelines and data lakes/warehouses
- Troubleshoot and resolve data issues and performance bottlenecks in real‑time and batch pipelines
Requirements
- 2–6 years of experience in data engineering or related roles
- Proficient in SQL, Python, or Scala for data processing
- Experience with data orchestration tools such as Apache Airflow, DBT, or Luigi
- Familiarity with cloud platforms (AWS Glue, Azure Data Factory, GCP Dataflow, etc.)
- Hands‑on experience with data warehouses like Snowflake, BigQuery, or Redshift
- Understanding of data modeling, normalization, and data warehousing concepts