Hiring Data Engineer | Singapore

We're looking for a Senior Data Engineer to design and develop production-grade ETL/ELT pipelines and scalable lakehouse platforms.

The role requires strong Python, PySpark, Apache Spark, SQL Server, MSBI, Kubernetes, Docker and Airflow experience, along with data modelling, NoSQL, Iceberg, CI/CD and data governance. You'll work with technical and business stakeholders to deliver reliable, secure and high-performing data solutions.

Hiring Data Engineer for a leading Bank in Singapore.

• Demonstrated experience in data engineering/pipeline development, with strong Python, SQL Server and MSBI.
• Hands-on experience with Kubernetes, Docker, Apache Spark/PySpark and Apache Airflow for data processing and orchestration.
• Strong data modelling skills across relational and NoSQL databases, including MongoDB or Cassandra.
• Experience with lakehouse/data lake architecture, Iceberg, partitioning, metadata management, CI/CD, Git and IaC.
• Strong understanding of data security, governance, RBAC and data masking.

If interested, please send your updated resume with detailed project experience at below email id
[Confidential Information]

Deeksha Agarwal

Email: [HIDDEN TEXT]
EA License No: 91C2918
Personnel Registration Number: R26161520