Data Engineer ALL LEVEL

Open for the following levels:

Middle Level
Solution Architect
Senior Level

Sign- on Bonus: Eligible for candidates who are currently employed elsewhere and able to join GFT within 30 days of offer acceptance.
Role Summary
As a Senior/Lead Data Engineer at GFT, you will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high- quality data solutions.
Key Activities

Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows
Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring
Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions
Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders
Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments
Develop and optimize large- scale, batch, and real- time data processing systems to enhance operational efficiency and meet business objectives
Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost- efficiency

Yêu cầu công việc

Required Skills

Data Science Support (25%): Ability to support data science workflows, including collaboration on data preparation, feature engineering, and enabling experimentation environments
Cloud Services: Strong familiarity with AWS services for cloud- based data processing and management
Core Expertise: Proficiency in Python for data processing and scripting (pandas, pyspark), workflow automation (Apache Airflow), and experience with AWS services (Glue, S3, EC2, Lambda)
Data Engineering Focus (75%): Expertise in building and managing robust data architectures and pipelines for large- scale data operations
Data Engineering Tools: Hands- on experience with columnar and big data databases (Athena, Redshift, Vertica, Hive/Hadoop), along with version control systems like Git
Containerization & Orchestration: Experience working with Kubernetes and Docker for managing containerized environments in the cloud
CI/CD Pipeline: Experience with CI/CD tools such as Jenkins, CircleCI, or AWS CodePipeline for continuous integration and deployment

Nice- to- have requirements

BI Tools: Experience with enterprise BI tools like Tableau, Looker, or PowerBI
Messaging & Event Streaming: Familiarity with distributed messaging systems like Kafka or RabbitMQ for event streaming
Data Privacy and Security: Knowledge of best practices for ensuring data privacy and security, particularly in large data infrastructures
Big Data & Analytics: Familiarity with both RDBMS (MySQL, PostgreSQL) and NoSQL (DynamoDB, Redis) databases
Advanced Data Science Tools: Experience with AWS Sagemaker or Databricks for enabling machine learning environments
Monitoring & Logging: Experience with monitoring and log management tools such as the ELK stack or Datadog

Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates.

HR benefits

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

Health care

Annual health check- ups.
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

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

Cập nhật gần nhất lúc: 2025-09-10 19:00:03