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ABOUT US

At STS, our dedicated and experienced management and technology professionals serve clients in local markets to realize their key business aspirations and solve their most pressing business problems. We are strategically positioned to offer a full range of services and solutions, including Consultant, Technology Services and Sofware Solutions. STS has in fact had operations in Vietnam since 2002. 

In 2008, STS joined Openasia Group and acquired VTAL, the distributor for telecommunication equipment and solution. Both companies were very successful and respected in their own right. In response to dynamic local market demand for the application and adaptation of international best practice management and technology, for local market conditions, Openasia combined STS with VTAL. 

STS has a strong presence in Vietnam with offices in Hanoi and Ho Chi Minh City. We employ more than a 40 consultants, with rich IT knowledge and deep experience in a range of industries and service/solution areas.

Level

Professional

TYPE

Full-time

CAREER

IT

Deadline

20-03-2025

JOB TITLE: Data Engineer

Company : STS

Deadline : 20-03-2025

Level : Professional

Location : Ha Noi

Number of Headcount : 1


JOB DESCRIPTION

About the Role:

We are seeking a Senior Data Engineer to play a key role in designing and scaling our data platform. You will be responsible for architecting robust, scalable, and high-performance data pipelines, integrating complex data sources, and optimizing our data infrastructure. This is a strategic role that involves collaborating with senior engineers, business analysts, and stakeholders to drive data accessibility, efficiency, and innovation.

Key Responsibilities:

  • Architect, build, and optimize data pipelines using dbt, Dagster, and AWS.
  • Design and implement scalable data solutions for enterprise applications (ERP, CRM) and AI-driven systems (GenAI, intelligent automation).
  • Collaborate with business analysts and client systems to ensure efficient data exploration and modeling.
  • Lead efforts in data governance, security, and performance tuning.
  • Improve data reliability, efficiency, and scalability in a cloud-based environment.
  • Automate and enhance monitoring, logging, and alerting for data workflows.
  • Mentor junior engineers and establish best practices for data engineering.
  • Work closely with stakeholders to translate business needs into data solutions.

JOB REQUIREMENT

  • 3+ years of experience in data engineering or software engineering.
  • Strong expertise in SQL, Python, and data modeling skills.
  • Hands-on experience with high-performance analytical databases (ClickHouse is a plus).
  • Proficiency in data pipeline orchestration tools like Dagster or Airflow.
  • Deep understanding of ETL/ELT processes, data warehousing, and cloud architecture (AWS).
  • Experience with CI/CD, containerization (Docker), and infrastructure (Kubernetes).
  • Strong knowledge of data governance, security, and compliance best practices.

Nice-to-Have:

  • Experience with real-time data processing (Kafka, Spark Streaming, or similar).
  • Exposure to AI/ML data pipelines and data model deployment workflows.
  • Background in distributed computing or high-performance data engineering.

WHAT WE OFFER

  • Competitive salary
  • Social insurance, health insurance, unemployment insurance according to Labor Laws
  • Advanced employee health insurance
  • 13th month salary and yearly performance bonus

Application form

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Level

Professional

TYPE

Full-time

CAREER

IT

Deadline

20-03-2025