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Trusting Social

132 Ham Nghi, TP Hồ Chí Minh

Company Size : 10-24

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Job Summary

  • 10-24
  • Product
  • Việt Nam

Big Data Engineer

Trusting Social

  • Quận 1, TP Hồ Chí Minh
  • Up to 3500USD
  •  Full Time
  •  Experienced (Non-Manager)
1
1

  •  Posted:05/02/2026

  • Expired
Big Data Engineer
Expired
Technical Skill: Python , Java , Scala , ETL , NoSQL , Hadoop , RabbitMQ , Apache Spark , Big Data , Apache Kafka , Yarn , Apache Airflow , Apache Oozie

Job description

Overview of job

  • Works on the data pipeline infrastructure that is veritably the backbone of our business
  • Writing elegant functional Scala code to crunch TBs of data on Hadoop clusters, mostly using Spark
  • Be owning a data pipeline deployment to clusters: on-prem or on-cloud (AWS or GCP or more). 
  • Be managing Hadoop clusters right from security to reliability to HA. 
  • Building a pluggable, unified data lake from scratch.
  •  Automating and scaling tasks for the Data Science team. 
  • Constantly look to improve framework and pipelines, hence learning on the job is sort of a given. 
  • Our expertise and requirements include but are not limited to Spark, Scala, HDFS, Yarn, Hive, Kafka, Distributed Systems, Python, Datastore (Relational and NoSql) and Airflow.
  • Fixed 13th-month salary
  • Performance bonus 1-2 months salary (excluding 13th month)
  • Free Grab for work for employees (even during the probationary period - from the first day of joining the company)
  • Lunch for employees (even during probation period - 1 day 5 dishes)
  • 100% salary on probation
  • 22 days of paid leave
  • Premium health care for employees and 3 relatives (medical treatment at international standard hospitals)
  • Provide MacbookPro and 27" monitor as well as necessary equipment for work
  • Happy hour every Thursday (pizza, fried chicken, sushi...)
  • Free coffee, tea, snacks, and fruit...all-day
  • Comfortable working hours, no fingerprint timekeeping or card swiping.
  • The company sponsors 100% of expenses for sports activities: badminton, football...
  • Budget for monthly team building/ team bonding
  • Yearly company trip...

Job Requirement

  • Experienced with Big Data stacks: Spark, Hadoop (Must have).
  • Experienced with Java/Scala (Python is a plus).
  • Knowledge of various ETL techniques and frameworks, such as Spark, Yarn, Airflow, Oozie, etc.
  • Understanding of distributed computing principles
  • Experience with NoSQL databases.
  • Experience with various messaging systems, such as Kafka or RabbitMQ

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • Python
  • Java
  • Scala
  • ETL
  • NoSQL
  • Hadoop
  • RabbitMQ
  • Apache Spark
  • Big Data
  • Apache Kafka
  • Yarn
  • Apache Airflow
  • Apache Oozie

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BUSINESS PROFILE

Trusting Social is a Fintech AI company.

Trusting Social is a Fintech AI company who pioneers alternative credit scoring for emerging markets using telecom data and other new data sources. We aim to provide credit scores for 1 billion unbanked consumers who currently do not have access to formal credit. We target emerging markets worldwide, with the initial focus on Southeast Asia and India.

Trusting Social is comprised of Ph.D. data scientists from Stanford Research Institute, Microsoft, IBM etc., and banking leaders from Goldman Sachs, Credit Suisse, and Barclays. Founded in Silicon Valley, Trusting Social is now headquartered in Singapore, with R&D lab in Ho Chi Minh, and offices in Hanoi, Manila, and Jakarta.

MORE JOBS FROM THIS EMPLOYER

  • 10-24
  • Product
  • Việt Nam

Senior AI Product Manager - eKYC

Trusting Social

  • Quận 1, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  Manager
1
Posted: 01/03/2026
Skills: eKYC, Data Analysis, SaaS, Product Development, Machine Learning, AI (Artificial Intelligence)
  • 10-24
  • Product
  • Việt Nam

Data Scientist - Credit Insight

Trusting Social

  • Quận 1, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  Experienced (Non-Manager)
1
Posted: 22/01/2026
Skills: Machine Learning, Python, R, Statistics, LLM

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