Data Services Specialist

We are looking for a Data Services Specialist to join our Service team, focusing on Data Integration, Workflow Automation, Data Quality, and BI & Analytics.

You will work with enterprise customer data across CRM, POS, Ecommerce, Loyalty, ERP, Billing, Data Warehouses, and third-party platforms, helping ensure data is integrated, reliable, and ready for analytics and business use.

This is a hands-on role working with APIs, SQL, ETL/ELT, workflow automation, databases, and BI tools.

Trách nhiệm công việc

• 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.

Yêu cầu

• 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.

Nice to Have

• 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.

What Makes You Successful

• 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.