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Khánh Hòa

Senior Data Engineer (Up to 50Mil VND)

Công Ty TNHH LOTTE C&f Vietnam
Thành phố Hồ Chí Minh
Full time
2 ngày trước

Mô tả công việc:

(Mức lương: Đến 50 triệu VNĐ)

We are looking for a highly skilled and proactive Senior Data Engineer to lead the design and development of our data foundation. This role is critical in building robust data pipelines, managing databases, enabling scalable data structure, and ensuring high data quality and observability at companywide. You’ll work with stakeholders across engineering, analytics, and operations to unlock the full value of data across the organization.


Key Responsibilities

  • Design, develop, and maintain data pipelines (batch and streaming) using tools such as Kafka, AWS Glue, DBT, or Airflow.
  • Build and manage data warehouse / data mart for BI, reporting, and advanced analytics.
  • Collaborate with software teams to ensure integration seamlessly with data systems.
  • Implement data quality frameworks (validation, deduplication, lineage tracking).
  • Support CDP integration.
  • Monitor and administer production databases (Oracle, PostgreSQL, MySQL). Acting as the first line of defense for any database-related issues, diagnosing the root cause of problems, and implementing effective solutions to minimize downtime.
  • Ensure high availability (HA), backup/restore, replication, and disaster recovery strategies are in place.
  • Automate DB operational tasks.
  • Enforce data security, access control, and compliance with PCI DSS, GDPR, and local regulations (Decree 13, SBV).
  • Implementing robust processes to retrieve data from many sources of databases. This involves managing different data formats, protocols, and extraction methods (batch, streaming).
  • Researching and evaluating new database management systems (e.g., NoSQL, NewSQL, Graph databases), data warehouse or cloud-native services to see if they would better serve upcoming business needs.
  • Capacity Planning: monitoring the growth of the database to forecast future storage and processing needs, ensuring the system can scale with increasing data volume and user load.
  • Cost Forecasting: analyzing usage to predict future database-related costs.
  • License Management: planning for the renewal and management of expensive commercial database licenses.


Chức vụ:
Nhân Viên/Chuyên Viên

Hình thức làm việc: Toàn thời gian

Quyền lợi được hưởng:

Attractive compensation, with bonus according to company’s policy.
Fully paid social insurance & premium healthcare insurance for employees.
15 days of annual leave plus 3 days of summer leave.
Annual performance-based salary review. Engagement activities and additional benefits as per Vietnamese Labor Law.
as per Vietnamese Labor Law.


Salary: up to 50mil VND


Address:

  • Lotte C&F Vietnam office
  • Unit 3, Floor 11, Bitexco Financial Tower, 2 Hai Trieu Street, Sai Gon Ward, HCMC


Yêu cầu bằng cấp (tối thiểu):
Đại Học

Yêu cầu công việc:

Qualifications

Required

  • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
  • 5+ years of experience in data engineering or similar.
  • Strong proficiency in SQL and deep understanding of various database systems (e.g., Oracle, PostgreSQL, MySQL, SQL Server, NoSQL databases).
  • Experience with workflow orchestration tools (e.g., Apache Airflow).
  • Expertise in at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services like S3, Glue, Redshift, BigQuery, or ClickHouse.
  • Strong understanding of data warehousing, data lakes, and pipeline orchestration.

Preferred

  • Prior experience in fintech, e-commerce, or high-scale environments.


Benefits:

  • Attractive compensation, with bonus according to company’s policy.
  • 15 days of annual leave plus 3 days of summer leave.
  • Fully paid social insurance & premium healthcare insurance for employees.
  • Annual performance-based salary review.
  • Engagement activities and additional

Yêu cầu giới tính: Nam/Nữ

Ngành nghề: Data Analytics,IT Phần Mềm,SQL


Đại Học
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