Senior Data Engineer - Singapore
3 days ago
Job description
Job Description — Senior Data Engineer / Streaming Data EngineerLocation:
Singapore
Employment Type:
Contract Role Overview
We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable real-time and batch data processing solutions supporting enterprise data platforms and analytics initiatives.
The role involves working with streaming technologies, ETL pipelines, and modern data engineering frameworks to support business-critical applications within banking and financial services environments.
Key ResponsibilitiesDesign and develop scalable ETL and data ingestion pipelines for batch and real-time processing.
Build and maintain streaming data applications using Apache Flink and Kafka (Confluent Kafka).
Develop backend services using Java (Spring Boot framework).
Develop data transformation and automation scripts using Python.
Work closely with business teams, platform teams, and data architects to support analytics and operational data use cases.
Integrate multiple enterprise systems through event-driven architecture.
Optimize performance of data pipelines and streaming workloads.
Work with SQL Server databases for data modelling, optimization, and querying.
Support data governance, data quality validation, and operational monitoring.
Participate in system design discussions and contribute to platform modernization initiatives.
Required Skills & Experience
5–10+ years experience in Data Engineering or Backend Engineering.
Strong experience in:
Data Engineering / ETL development.
Java development using Spring Boot.
Apache Flink for real-time stream processing.
Messaging systems such as Confluent Kafka / Apache Kafka.
Python scripting and automation.
SQL Server or enterprise relational databases.
Experience working in distributed or microservices architecture.
Good understanding of data modelling and data pipeline optimization.
Preferred Experience
Banking, Wealth Management, or BFSI domain experience.
Cloud exposure (AWS / Azure / GCP).
Experience with containerization (Docker/Kubernetes/OpenShift).
Exposure to DevOps CI/CD pipelines.
Education
Bachelor's Degree in Computer Science, IT, or related discipline.
Nice to Have
Experience with event-driven architecture.
Exposure to data lake or analytics platforms
EA License No. 01C4394
- EA Registration No. R Jacob Tijo)
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