Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
CNTT - Phần mềm
Mức lương
Thương lượng
Địa điểm
Thành phố Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- Build and maintain automated data workflows using n8n, Apache Airflow, or similar orchestration tools.
- Integrate data across systems using REST APIs, Webhooks, databases, SFTP, batch files, and cloud storage.
- Build and operate ETL/ELT pipelines, including scheduling, monitoring, retries, logging, and error handling.
- Perform data mapping, transformation, validation, reconciliation, and data quality checks.
- Use SQL to investigate missing, duplicated, inconsistent, or abnormal data.
- Build and maintain dashboards, reports, KPI metrics, and analytical datasets using BI tools.
- Analyze customer, transaction, product, campaign, loyalty, subscription, and behavioral data.
- Monitor data pipelines and troubleshoot integration, synchronization, and reporting issues.
- Work with customers and internal teams to understand data, integration, and reporting requirements.
- Maintain data mappings, workflow documentation, KPI definitions, and operational guides.
- Identify opportunities to automate repetitive data operations and improve reliability.
- 1+ years of experience in Data Integration, Automation Engineering, BI/Data Analytics, or related roles.
- Hands-on experience with n8n, Apache Airflow, or similar workflow orchestration tools.
- Strong working knowledge of SQL and relational databases.
- Experience with REST APIs, Webhooks, JSON, and system integrations.
- Experience building or maintaining ETL/ELT pipelines and automated data workflows.
- Experience with data mapping, transformation, validation, and reconciliation.
- Experience building dashboards or reports using BI/visualization tools.
- Strong analytical, troubleshooting, and root-cause analysis skills.
- Good communication, documentation, and English reading skills.
- Experience with Power BI, Looker, Tableau, Metabase, or similar BI tools.
- Experience with BigQuery, PostgreSQL, MySQL, Snowflake, StarRocks, or similar platforms.
- Experience with AWS, GCP, or Azure.
- Knowledge of Python for data processing or automation.
- Experience with Kafka, Airbyte, dbt, NiFi, Fivetran, or similar data technologies.
- Experience with CDP, CRM, Marketing Automation, Ecommerce, Loyalty, ERP, POS, or Billing systems.
- Experience in B2B SaaS, MarTech, System Integration, or Professional Services.
- Automation mindset: You look for ways to reduce repetitive manual data operations.
- Data mindset: You care about data accuracy, completeness, consistency, and usability.
- Problem solving: You can trace issues across APIs, pipelines, databases, and reports.
- Business curiosity: You want to understand how data supports real business use cases.
- Ownership: You take responsibility from implementation and validation through monitoring and troubleshooting.
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