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
- Data Integration & Workflow Automation
- Lead the design and implementation of enterprise data integrations between Antsomi and customer systems.
- Design and build automated workflows using n8n, Apache Airflow, or similar workflow orchestration platforms.
- Design and operate reliable ETL/ELT workflows and production data pipelines.
- Integrate data through REST APIs, Webhooks, databases, SFTP, batch files, cloud storage, and other integration methods.
- Define appropriate integration patterns including API-based, scheduled, batch, file-based, and event-driven integrations.
- Design workflow scheduling, dependencies, retries, timeout handling, logging, alerting, and recovery mechanisms.
- Define data extraction, transformation, mapping, and loading logic across multiple enterprise systems.
- Work with enterprise data domains such as Customer, Transaction, Product, Subscription, Loyalty, Campaign, and Behavioral/Event data.
- Lead data migration and historical data ingestion when required.
- Review existing integrations and recommend improvements for reliability, scalability, maintainability, and operational efficiency.
- Own complex integration delivery from Design → Build → Test → Go-live → Monitor → Optimize.
- Data Mapping, Quality & Governance
- Analyze complex source system data models and define source-to-target mappings, data dictionaries, transformation rules, and integration specifications.
- Define and implement data validation and reconciliation frameworks.
- Establish data quality rules covering completeness, accuracy, consistency, duplication, validity, and freshness.
- Design reusable and automated data quality checks.
- Lead reconciliation between customer source systems, Antsomi platforms, and downstream reporting.
- Investigate complex data discrepancies across multiple systems and integration layers.
- Support customer identity and Customer 360 data validation across multiple sources.
- Identify systemic data quality issues and recommend corrective and preventive actions.
- Define standards for data mappings, KPI definitions, validation rules, and data documentation.
- Contribute to Data Health and Integration Health assessment frameworks for enterprise customers.
- BI & Analytics
- Lead discussions with customers and Business Solution Consultants to understand business objectives, KPIs, reporting requirements, and analytical questions.
- Translate business requirements into clear metrics, dimensions, calculation logic, analytical datasets, and dashboard requirements.
- Design and build dashboards and reports using appropriate BI and visualization tools.
- Write advanced SQL for data preparation, aggregation, analysis, validation, and troubleshooting.
- Design analytical datasets and reporting structures that support scalable reporting.
- Define and validate KPI calculation logic across source systems, CDP, and reporting outputs.
- Perform analysis across areas such as:
- Customer & Customer 360
- Revenue & Transactions
- Products & Categories
- Customer Segmentation
- Campaign & Journey Performance
- Loyalty & Rewards
- Subscription
- Customer Behavior & Engagement
- Investigate and resolve discrepancies between dashboards, CDP data, analytical datasets, and customer source systems.
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