Hiring Data Engineer | Singapore
Posted Updated
Description
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.
Job Description:
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 (HIDDEN TEXT) Deeksha Agarwal
Email: (HIDDEN TEXT) EA License No: 91C2918 Personnel Registration Number: R26161520
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 (HIDDEN TEXT) Deeksha Agarwal
Email: (HIDDEN TEXT) EA License No: 91C2918 Personnel Registration Number: R26161520