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GFT Technologies Vietnam

29A Nguyen Dinh Chieu, TP Hồ Chí Minh

Company Size : 25-99

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Job Summary

  • 25-99
  • Outsourcing
  • Việt Nam

Senior Data Engineer

GFT Technologies Vietnam

  • Quận 1, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:06/04/2025

  • Expired
Senior Data Engineer
Expired
Technical Skill: Python , AWS , PySpark , Java , PostgreSQL , MySQL , Git , ETL , NoSQL , AWS Lambda , RDBMS , Hadoop , Jenkins , Distributed Systems , RabbitMQ , JVM , Elasticsearch , Docker , Apache Spark , Apache Hive , Redis , Scala , AWS Redshift , Big Data , Amazon S3 , Apache Kafka , Tableau , DynamoDB , Pandas , Amazon EC2 , Kubernetes , BI , MS Power BI , DataDog , Vertica , Elastic Stack , CircleCI , Performance tuning , Amazon EMR , Amazon ECS , Numpy , AWS CodePipeline , ELT , Scipy , Columnar , Amazon Athena , AWS Glue , CI/CD , Amazon Sagemaker , Databricks , ELK

Job description

Overview of job

We are seeking a highly motivated Senior Data Engineer with minimum of 8 years of experience to join our dynamic data engineering team. As a Senior Data Engineer at GFT, you will play a pivotal role in designing, maintaining, and enhancing various analytical and operational services and infrastructure crucial for the organization's functions. You'll collaborate closely with cross-functional teams to ensure the seamless flow of data for critical decision-making processes.

Key Activities:

  • Data Infrastructure Design and Maintenance: Architect, maintain, and enhance analytical and operational services and infrastructure, including data lakes, databases, data pipelines, and metadata repositories, to ensure accurate and timely delivery of actionable insights.
  • Collaboration: Work closely with data science teams to design and implement data schemas and models, integrate new data sources with product teams, and collaborate with other data engineers to implement cutting-edge technologies in the data space.
  • Data Processing: Develop and optimize large-scale batch and real-time data processing systems to support the organization's growth and improvement initiatives.
  • Workflow Management: Utilize workflow scheduling and monitoring tools like Apache Airflow and AWS Batch to ensure efficient data processing and management.
  • Quality Assurance: Implement robust testing strategies to ensure the reliability and usability of data processing systems.
  • Continuous Improvement: Stay abreast of emerging technologies and best practices in data engineering, and propose and implement optimizations to enhance development efficiency.

HR benefits

  • Competitive salary
  • Salary band per level are reviewed once per year
  • 13th month salary pro rata depending on the employee’s length of service (within a calender year), paid with the December salary
  • Monthly lunch allowance: 700,000 VND/employee
  • Parking: GFT covers the monthly parking fee for employee motorbikes
  • Performance evaluation is once per year, for 2 purposes:
       > Performance bonus   > Salary increments

Health care

  • Private health insurance: including accident, outpatient, in-patient, maternity, and dental for all permanent employees who pass 2-month probation.
  • Optical: expense claim for eyewear
  • Annual health check-ups.

Vacation

  • Maximum 18-day vacation leave/year (with the ability to carry over 05 days till 31st March of the following year)
  • Adding one more annual leave day for each two-year anniversary.

Healthy lifestyle

  • Sports and hobby clubs: company has an annual fund for fitness activities, which is allocated per month as team’s vote.
  • Range of healthy snacks, tea, coffee, milk and beer on tap

Social

  • Company townhall: each 6 weeks
  • CSR activities: as per company’s CSR guideline
  • Onsite tour/training courses at other GFT offices and client’s destination overseas (where applicable).

Job Requirement

  • Deep understanding of the principles of distributed systems.
  • Experience in data engineering and building ETL/ELT pipelines.
  • Experience with performance tuning of Hadoop/Spark solutions.
  • Strong proficiency in Python and its data/scientific libraries** (e.g. pySpark, pandas, numpy/scipy, polars).
  • Experience with working with version control systems (e.g git)
  • Database Proficiency: Experience with columnar and big data databases like Athena, Redshift, Vertica, and Hive/Hadoop.
  • Cloud Services: Familiarity with AWS or other cloud services like Glue, EMR, EC2, S3, Lambda, etc.
  • Containerization: Experience with container management and orchestration tools like Docker, ECS, and Kubernetes.
  • CI/CD: Knowledge of CI/CD tools such as Jenkins, CircleCI, or AWS CodePipeline.

Nice-to-have requirements:

  • Programming Languages: Familiarity with JVM languages like Java or Scala.
  • Database Technologies: Experience with RDBMS (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., DynamoDB, Redis).
  • BI Tools: Exposure to enterprise BI tools like Tableau, Looker, or PowerBI.
  • Data Science Environments: Understanding of data science environments like AWS Sagemaker or Databricks.
  • Monitoring and Logging: Knowledge of log ingestion and monitoring tools like ELK stack or Datadog.
  • Data Privacy and Security: Understanding of data privacy and security tools and concepts.
  • Messaging Systems: Familiarity with distributed messaging and event streaming systems like Kafka or RabbitMQ.

Languages

    • English

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

Technical Skill

  • Python
  • AWS
  • PySpark
  • Java
  • PostgreSQL
  • MySQL
  • Git
  • ETL
  • NoSQL
  • AWS Lambda
  • RDBMS
  • Hadoop
  • Jenkins
  • Distributed Systems
  • RabbitMQ
  • JVM
  • Elasticsearch
  • Docker
  • Apache Spark
  • Apache Hive
  • Redis
  • Scala
  • AWS Redshift
  • Big Data
  • Amazon S3
  • Apache Kafka
  • Tableau
  • DynamoDB
  • Pandas
  • Amazon EC2
  • Kubernetes
  • BI
  • MS Power BI
  • DataDog
  • Vertica
  • Elastic Stack
  • CircleCI
  • Performance tuning
  • Amazon EMR
  • Amazon ECS
  • Numpy
  • AWS CodePipeline
  • ELT
  • Scipy
  • Columnar
  • Amazon Athena
  • AWS Glue
  • CI/CD
  • Amazon Sagemaker
  • Databricks
  • ELK

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BUSINESS PROFILE

GFT is driving the digital transformation of the world’s leading companies in the financial sector.

As an IT services and software engineering provider, GFT offers strong consulting and development skills across all aspects of pioneering technologies, such as cloud engineering, artificial intelligence, mainframe modernization, and the Internet of Things for Industry 4.0.

With its in-depth technological expertise, profound market know-how, and strong partnerships,
GFT implements scalable IT solutions to increase productivity. This provides clients with faster access to new IT applications and innovative business models, while also reducing risk.

Founded in 1987 and located in more than 15 countries to ensure close proximity to its clients, GFT employs 6,000 people.

MORE JOBS FROM THIS EMPLOYER

  • 25-99
  • Outsourcing
  • Việt Nam

(Senior) Backend Engineer

GFT Technologies Vietnam

  • Quận 1, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  Experienced (Non-Manager)
1
Posted: 29/11/2025
Skills: Java, Spring, Apache Kafka, AWS, Spring Boot, Kotlin, Microservices, ACID, Apache Avro, Kubernetes, CI/CD, SonarQube, Spring Cloud, SumoLogic, ELK, Apache Airflow, DNS, MVC, Git, Maven, Integration Testing, System Design, JPA, Cisco Switch, NoSQL, RDBMS, MS SQL, Github, TypeScript, REST API, Elasticsearch, SOLID, SSL, Gradle, Docker, Splunk, Architecture, Mockito, Protobuf, JUnit
  • 25-99
  • Outsourcing
  • Việt Nam

Senior/ Lead Data Engineer

GFT Technologies Vietnam

  • Quận 1, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  Experienced (Non-Manager)
1
Posted: 25/10/2025
Skills: Python, Pandas, PySpark, AWS CodePipeline, ELT, Amazon Athena, AWS Glue, CI/CD, IAM, Columnar, DBT, ETL, AWS Lambda, Hadoop, Jenkins, Docker, Apache Hive, AWS Redshift, Big Data, Amazon S3, AWS, Data Warehouse, Amazon EC2, Kubernetes, CircleCI, Apache Airflow

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