The role is responsible for designing, developing, and implementing end-to-end data pipelines and data integration processes for regional frontend systems
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 at least 5 years of hands-on experience with big data technologies including Azure, AWS, Databricks, and Apache Spark.
FWD Group is a pan-Asian life and health insurance business focused on delivering innovative propositions through a digitally enabled approach.
Matching Summary
The role is responsible for designing, developing, and implementing end-to-end data pipelines and data integration processes for regional frontend systems.
Skills & Requirements
Must-have
5+ years data engineering experience
End-to-end ETL/ELT pipeline development
Azure Data Factory and Databricks expertise
Apache Spark and Kafka real-time processing
Dimensional modeling and Data Vault techniques
Nice-to-have
Prior insurance industry experience
API development using RESTful standards
Knowledge of MDM and Data Governance tools
Experience with Informatica technologies
DevOps CI/CD implementation skills
Key Requirements
Bachelor's degree in IT or Computer Science
5+ years professional experience in data warehousing
Strong proficiency in Python, Java, or Scala
Experience with distributed data processing technologies