Lead Data Engineer | Singapore (Hybrid)
We are looking for a Lead Data Engineer to design and build scalable data pipelines and drive end-to-end data engineering solutions.
Key Responsibilities:
- Build and optimize ETL/ELT pipelines for batch & streaming data
- Develop scalable data ingestion and transformation frameworks
- Ensure data quality, reliability, and performance
- Collaborate with stakeholders, analysts, and data scientists
- Drive best practices in data modeling, CI/CD, and DevOps
Required Skills:
- 10+ years in data engineering
- Strong hands-on experience in PySpark & Python
- Experience with Hadoop and AWS/Azure
- Solid SQL and large-scale data processing expertise
- Good understanding of Delta Lake, lakehouse architecture
- Familiarity with CI/CD, Git, and data pipeline optimization
Work Setup: Initial 2 months onsite, followed by hybrid model
