Data Integration Engineer - FinCrime Platform job opportunity at TymeX.



Date2025-11-22T07:28:04.787Z bot
TymeX Data Integration Engineer - FinCrime Platform
Experience: 3-years
Pattern: Full-time
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loacation Ho Chi Minh City, Vietnam
loacation Ho Chi Minh Ci..........Vietnam

About TymeX TymeX  is Tyme Group 's Technology & Product Development Hub with a global mission to become serial bank builders.  Our  Financial Crime  platform plays a critical role in protecting customers and the bank from fraud, money laundering, and other financial crimes using advanced data, AI, and automation.  About the Role  We are looking for a highly skilled  Data Integration Engineer  to join our Financial Crime Platform team.  In this role, you’ll design and maintain data integrations across a variety of systems — from internal banking platforms to external compliance, biometric, and risk data providers.  You will work closely with Data Engineers, Product Owners, and Compliance teams to ensure the seamless flow of data that supports  profiling, entity resolution, and case management  for FinCrime investigations.  Key Responsibilities Design, implement, and maintain  data integration pipelines  between TymeX’s FinCrime platform and external systems (e.g. Authentication, ID, sanctions, behavioural, device and other third party platforms)  Build and optimize  data ingestion and transformation processes  using Python and PySpark, Declarative Pipelines, Streaming technologies.  Synchronous Real Time Data Ingestion – optimization and performance benchmarking  Work with APIs, message queues, and data streaming frameworks to ensure smooth data exchange between systems.  Collaborate with product and operations/compliance teams to define  integration requirements and data mapping logic.  Ensure integrations meet  security, reliability, and scalability  standards.  Support troubleshooting and performance tuning for data flows and services.  Maintain integration documentation and version control.  Must-Have:  3+ years of experience as an  Integration Engineer, Data Engineer, or Backend Developer.  Strong programming skills in  Python  and experience with  PySpark, Scala and/or SQL.  Proven experience with  API integrations  (REST, JSON, OAuth).  Solid understanding of  ETL / ELT processes and data pipelines.  Hands-on experience with  cloud platforms  (AWS preferred).  Strong SQL skills and familiarity with  Databricks  or Snowflake.  Good English communication skills — able to work in cross-functional and international teams.  Nice to Have:  Familiarity with tools such as integration patterns best practices.  Experience in  Financial Crime / Fraud, KYC  systems or compliance domains.  Understanding of  data orchestration frameworks .  Exposure to  data streaming  (Kafka, Spark Streaming) or  real-time risk detection systems. 

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