Not specified (assume hybrid based on industry trends)
5+ years data engineering experience
Azure data factory and databricks
Apache spark and kafka streaming
FWD Singapore is seeking an Assistant Manager in Data Engineering, responsible for designing, developing, and maintaining data integration processes and systems. The ideal candidate will have at least five years of relevant experience, with a strong background in data management, ETL/ELT processes, and big data technologies
Job Summary
The role is responsible for designing, developing, and implementing end-to-end data pipelines and data integration processes for regional frontend systems.
Candidates must have extensive experience with big data technologies including Azure, AWS, Databricks, Synapse, and real-time processing tools like Kafka and Flink.
The position requires collaborating with data architects, IT teams, and business stakeholders to transform complex requirements into scalable technical solutions.
Matching Summary
Match Score: 85
FWD Singapore is seeking an Assistant Manager in Data Engineering, responsible for designing, developing, and maintaining data integration processes and systems. The ideal candidate will have at least five years of relevant experience, with a strong background in data management, ETL/ELT processes, and big data technologies.
Skills & Requirements
Must-have
5+ years data engineering experience
Azure Data Factory and Databricks
Apache Spark and Kafka streaming
Dimensional modeling and Data Vault
Python, Java, or Scala programming
ETL/ELT development and optimization
Nice-to-have
Prior insurance industry experience
API development with REST/SOAP
Informatica and MDM tool knowledge
Power BI and Tableau visualization
DevOps CI/CD pipeline implementation
Key Requirements
Bachelor's degree in IT or Computer Science
Minimum 5 years of relevant data engineering experience
Proficiency in Unix and Windows environments
Experience with distributed data processing technologies