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Senior Data Engineer CRM

HSC · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh

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Tổng quan

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

Yêu cầu

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

Quyền lợi

  • Positive work environment, support & determination
  • Development opportunities & improve a quality life
  • Understanding candidates' expectations of the ideal workplace, we always put the people element at the top of our priorities. ​
  • 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
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