Tyme

Senior Data Engineer – Financial Crime

Tyme

full-time

Posted on:

Location Type: Hybrid

Location: Ho Chi Minh City • 🇻🇳 Vietnam

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Job Level

Senior

Tech Stack

AWSCloudETLKafkaOpen SourcePostgresPySparkPythonScalaSparkSQL

About the role

  • Build and optimize data ingestion pipelines using Python and PySpark to collect and transform data from multiple sources (transactions, KYC, AML, authentication, devices, logs, etc.).
  • **Proficiency in SQL (PostGres preferred) **
  • **Design and maintain data model that support Financial Crime/Fraud detection, profiling, and entity resolution. **
  • **Implement data quality checks and ensure data reliability across environments.
  • **Collaborate closely with Data Scientists, Analysts, Compliance, Operations and our Product/Feature teams to operationalize models and rules. **
  • Utilize jobs, workflows, APIs and streaming to manage large-scale data processing workloads.
  • Integrate with external systems (e.g. sanctions, ID&V, biometrics and authentication systems) to enrich risk and identity data.
  • Support **automation and monitoring** of ETL processes to improve operational efficiency.

Requirements

  • Bachelor’s degree.
  • **5+ years of experience **
  • **Strong skills in Python, PySpark, Scala and Advanced SQL (preferably PostGres) **
  • **Hands-on experience with Databricks, Snowflake, Fabric or similar **
  • **Experience working with structured and unstructured data in a production environment. **
  • **Experience with Agentic AI, MLFlow, ML models, Eval **
  • **Secure Coding practices – testing/QA **
  • **Comfortable with cloud-based data platforms (preferably AWS). **
  • **Good communication skills in English — able to collaborate with cross-functional teams in an international environment. **
  • **Proficiency in working with Text, Delta, Parquet, JSON, CSV, and XML data formats. **
  • **Working knowledge of Spark structured streaming. **
  • **AWS infrastructure experience, specifically working with S3. **
  • **Solid understanding of git-based version control, DevOps, and CI/CD. **
  • **Experience of working on Atlassian stack a plus. **
  • **Knowledge of common web API frameworks and web services. **
  • Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals.
  • Willingness to embrace modern technology, best practice, and ways of work.
  • **Nice to Have: **
  • Experience in **Financial Crime/AML, KYC, **or** fraud detection** systems.
  • Familiarity with **Entity Resolution frameworks** (e.g., Quantexa, Sensing, open source Entity Resolution tools).
  • Experience with **data streaming frameworks** (Kafka, Spark Streaming, MQ).
Benefits
  • Be part of a **mission-driven** team tackling real-world financial crime problems.
  • Work with **modern data tech stack** with Agentic AI and advanced ML.
  • **Hybrid working model **with flexible hours.
  • International and collaborative culture — working with colleagues across **Vietnam, Singapore, Philippines and South Africa**.
  • Competitive salary, performance bonuses, and learning support.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonPySparkSQLPostGresScalaDatabricksSnowflakeAgentic AIMLFlowETL
Soft skills
communicationteamworkrelationship managementclient managementinfluencecollaborationwillingness to embrace technologyproblem-solvingadaptabilitycross-functional collaboration
Certifications
Bachelor's degree