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HSC

AB Tower, 76 Le Lai, TP Hồ Chí Minh

Quy mô công ty : 500-999

Xem thêm

Tóm lược

  • 500-999
  • Product
  • Việt Nam

Senior Data Engineer

HSC

  • Quận 1, TP Hồ Chí Minh
  • Thỏa Thuận
  •  Toàn thời gian
  •  English
  •  Có kinh nghiêm (Nhân viên)
1
1

  •  Ngày Đăng:27/10/2026

  • Ứng tuyển
Senior Data Engineer
Ứng tuyển
Yêu cầu kỹ thuật: Python , MS SQL , Data Modeling , Java , Git , ETL , API , CRM , Google Analytics , Docker , Apache Spark , Scala , AWS Redshift , MS Azure , Apache Kafka , Data Analysis , Kubernetes , Facebook Ads , RTB , CDP , Blockchain , Web3 , Azure Data Factory , Apache Airflow , Snowflake , Azure DevOps , Pub/Sub , ELT , Azure Databricks , CI/CD , Google BigQuery , DBT , EventHub , GitHub Actions

Mô tả công việc

Tóm tắt công việc

1. Primary Objective:

  • Design and build scalable batch and real-time ETL/ELT data pipelines
  • Design data models and DataMarts (Customer Profile, Journey, Event) per business requirements
  • Operate, monitor, and optimize the data platform on Microsoft Azure and Google Cloud
  • Integrate source systems and provide technical support to other teams in the Data Department
  • Ensure data quality and adherence to data governance standards across pipelines
  • Provide technical guidance, code review, and knowledge sharing within the team

2. Main Responsibilities

  • Build and optimize ETL/ELT pipelines using SQL/Python from trading, CRM, and APIs; directly operate CDC flow via Debezium on GKE Autopilot to Azure Databricks
  • Design DataMarts using Medallion/Data Vault architecture; collaborate with stakeholders and vendors to clarify requirements and integrate CDP/CRM
  • Manage, operate, and monitor resources/costs on Azure (Databricks, ADF, Synapse/Fabric, ADLS) and Google Cloud (GKE Autopilot, Pub/Sub)
  • Monitor pipelines, troubleshoot incidents, automate alerting, and continuously improve system performance
  • Implement automated data quality checks, reconciliation, and defect handling (using Great Expectations or equivalent)
  • Integrate core trading, CRM, and accounting source systems; lead data migrations/upgrades with zero data loss or downtime
  • Implement IAM access control, encryption, and data masking; perform backup/recovery and establish CI/CD workflows via Git and Azure DevOps
  • Support Analytics, Data Science, and Governance teams in data usage; mentor Data Engineers and review their code

3. Other Responsibilities

  • Maintain technical documentation, research new data technologies, and handle ad-hoc data requests
  • Perform other tasks as assigned by the Data Engineering Manager

Understanding candidates' expectations of the ideal workplace, we always put the people element at the top of our priorities. ​

Primary benefits:

  • Attractive KPI Bonus annual
  • Review Salary and performance annual
  • 16+ Annual Leaves​, 5 sick leaves, 1 day off birthday
  • Full Social Insurance, Annual Medical Check- up​, Health insurance
  • Team Building and company activities: Year- end Party, New-year Party, Company trip, Charity activities
  • Learning workshops: e-learning, English courses, career development training programs​
  • Sports clubs: gym, yoga, running, football, tennis, badminton

Yêu cầu công việc

1. Educational level

  • Bachelor’s degree in information technology, Computer Science, Data Science or a related field

2. Professional Experience

  • 5+ years of experience as a Data Engineer with strong ETL/ELT pipeline development and large-scale data modeling
  • Advanced SQL proficiency and hands-on experience with cloud data platforms (Azure Databricks, BigQuery, Redshift, Synapse, Snowflake, Spark)
  • Familiarity with CDP/CRM ecosystems and data integration with marketing platforms (Facebook Ads, Google Analytics, Criteo, RTB House)
  • Practical experience with workflow orchestration and transformation tools (dbt, Airflow, Azure Data Factory)
  • Strong Python skills for data processing, automation, and API integration (Scala/Java for Spark is a plus)
  • Experience with real-time event streaming technologies (Kafka, Pub/Sub, Event Hub)
  • Knowledge of Data Governance (data quality, lineage, catalog) and frameworks like Great Expectations or Soda
  • Experience with CI/CD for data engineering (Git, GitHub Actions, Azure DevOps) and exposure to Docker/Kubernetes
  • Prior involvement in enterprise-scale CDP/CRM integration projects

3. Professional Competencies/Knowledge

  • Data Classification and Archiving
  • Data Management Process Understanding
  • Data Analysis Knowledge
  • CRM System Knowledge
  • Data Architecture Knowledge
  • Database Management Knowledge
  • Data Recovery Knowledge
  • Information Technology Knowledge
  • Project Management Knowledge

Ngôn ngữ

    • English

    • Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Python
  • MS SQL
  • Data Modeling
  • Java
  • Git
  • ETL
  • API
  • CRM
  • Google Analytics
  • Docker
  • Apache Spark
  • Scala
  • AWS Redshift
  • MS Azure
  • Apache Kafka
  • Data Analysis
  • Kubernetes
  • Facebook Ads
  • RTB
  • CDP
  • Blockchain
  • Web3
  • Azure Data Factory
  • Apache Airflow
  • Snowflake
  • Azure DevOps
  • Pub/Sub
  • ELT
  • Azure Databricks
  • CI/CD
  • Google BigQuery
  • DBT
  • EventHub
  • GitHub Actions

NĂNG LỰC

  • Professional Experience
  • Analytic Skills
  • Project Management

Tìm kiếm công việc phù hợp

Thông tin doanh nghiệp

Ho Chi Minh City Securities Corporation (HSC) is a leading and award-winning professional securities brokerage and equities firm in Vietnam.

HSC offers a full suite of services and financial products to private and institutional clients, providing professional investment advisory services backed by solid, trusted, award winning research. Through its Corporate Finance Division, HSC has established an exceptional track record of connecting businesses to investors and creating long-term sustainable partnerships.

To serve the company’s growth, we are looking for outstanding candidates for the following position at the Head office based in Ho Chi Minh City.

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Tìm kiếm công việc phù hợp

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