EY is seeking a Data Engineer to join their Data & AI team in Singapore. This role involves designing, building, and maintaining ETL/ELT pipelines, developing data workflows, collaborating with stakeholders, and ensuring data integrity. The company emphasizes growth, culture, and a positive working environment, offering a competitive compensation package.
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 like Apache Airflow, DBT, or Luigi
- Familiarity with cloud platforms (AWS Glue, Azure Data Factory, GCP Dataflow, etc.)
- Hands-on experience with data warehouses (Snowflake, BigQuery, Redshift)
- Understanding of data modeling, normalization, and data warehousing concepts
- Exposure to CI/CD, version control (Git), and agile development practices
Benefits
- Competitive remuneration package
- Continuous learning
- Success as defined by you
- Transformative leadership
- Diverse and inclusive culture