Data Engineer: Scalable ETL/ELT Pipelines & Cloud Data

EY; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

EY is looking for a Data Engineer in Singapore, responsible for designing, building, and maintaining ETL/ELT pipelines for structured and unstructured data. The role requires collaboration with data scientists and stakeholders to ensure the quality and availability of data.

Candidates should have 2–6 years of experience, proficiency in SQL and Python, and familiarity with cloud platforms and data orchestration tools. A Bachelor's or Master's degree in a relevant field is required.

Qualifications

• 2–6 years of experience in data engineering or related roles.
• Hands-on experience with data warehouses such as Snowflake, BigQuery, or Redshift.
• Knowledge of streaming data frameworks (Kafka, Spark Streaming, Flink) is a plus.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop and optimize data workflows for advanced analytics and reporting tools.
• Collaborate with data stakeholders to ensure data quality and availability.
• Troubleshoot and resolve data issues in real-time and batch pipelines.

Skills

SQL

Python

Scala

Data orchestration tools

Cloud platforms (AWS, Azure, GCP)

Data warehouses (Snowflake, BigQuery, Redshift)

Data modeling

CI/CD

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Apache Airflow

DBT

Luigi

Job description

EY is looking for a Data Engineer in Singapore, responsible for designing, building, and maintaining ETL/ELT pipelines for structured and unstructured data. The role requires collaboration with data scientists and stakeholders to ensure the quality and availability of data.

Candidates should have 2–6 years of experience, proficiency in SQL and Python, and familiarity with cloud platforms and data orchestration tools. A Bachelor's or Master's degree in a relevant field is required.