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Adecco Group

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Hiring Data Engineer | Singapore

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Summary

A senior data engineer at a leading Singapore bank, designing and building production-grade ETL/ELT pipelines and scalable lakehouse platforms. Core stack includes Python, PySpark/Apache Spark, SQL Server/MSBI, Kubernetes, Docker, Airflow, Iceberg, plus CI/CD and data governance.

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

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