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- We build a professional & fun working environment.
- We focus on your growth, yes the long-term growth.
- We develop the future-ready digital bank platform.
Mô tả công việc
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.
Yêu cầu công việc
Required Skills:
- Minimum of 8 years of experience
- Technical Expertise: Proficient in Unix environments, distributed and cloud computing, Python frameworks (e.g., pandas, pyspark), version control systems (e.g., git), and workflow scheduling tools (e.g., Apache Airflow).
- 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.
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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).
GFT Technologies Vietnam
Xem công ty
Building technology to revolutionise the Digital Banking with Cloud engineering.
Mô hình công ty
Dịch vụ và Tư vấn giải pháp
Quy mô công ty
151-300
nhân viên
Quốc gia
Germany
Thời gian làm việc
Thứ 2 - Thứ 6
Làm việc ngoài giờ
Không có OT
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