Data Engineer

Develop and enhance data ingestion pipelines with Python and PySpark to gather and modify data from various sources such as transactions, KYC, AML, authentication, devices, and logs.

Proficiency in SQL, with a preference for PostGres.

Design and maintain data models tailored to support Financial Crime/Fraud detection, profiling, and entity resolution.

Implement data quality checks and ensure data reliability across all environments.

Work closely with Data Scientists, Analysts, Compliance, Operations, and Product/Feature teams to put models and rules into practice.

Utilize jobs, workflows, APIs, and streaming to manage extensive data processing workloads.

Integrate with external systems, for example, sanctions, ID&V, biometrics, and authentication systems, to enhance risk and identity data.

Support automation and monitoring of ETL processes for improved operational efficiency.

Bachelor's degree or equivalent qualification

Over 5 years of experience with strong proficiency in Python, PySpark, Scala and Advanced SQL (preferably PostGres)

Hands-on experience with Databricks, Snowflake, Fabric or similar platforms

Proven hands-on experience working with structured and unstructured data in a production environment.

Familiarity with Agentic AI, MLFlow, ML models, and Eval Secure Coding practices - testing/QA

Comfortable working with cloud-based data platforms (preferably AWS).

Effective communication skills in English for collaborating with cross-functional teams in an international environment.

Proficient in working with Text, Delta, Parquet, JSON, CSV, and XML data formats.

Working knowledge of Spark structured streaming.

Experience with AWS infrastructure and working specifically with S3.

Solid understanding of git-based version control, DevOps, and CI/CD.

Experience with Atlassian stack would be 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 practices, and methods of work.

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).

Company offers meal and parking benefits.

Full benefits and probationary salary provided.

Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.

Work environment is values-driven, international, and agile in nature.

Opportunities for overseas travel related to training and work.

Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.

Additional benefits include a 13th-month salary and performance bonuses.

Employees receive 15 days of annual leave and 3 days of sick leave per year.

Work-life balance with a 40-hour workweek from Monday to Friday.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666