Job Responsibilities: Data Pipeline Development Design, build, and maintain scalable data pipelines using SQL, Spark, and other relevant technologies. Optimize data pipelines for performance, reliability, and efficiency. Data Governance & Quality Implement and enforce data governance policies and procedures. Establish data quality monitoring and validation processes, including data profiling, cleansing, and standardization. Utilize data cataloging and tagging tools to improve data discoverability and usability. AI Model Support Collaborate on data labeling and merchant tagging initiatives for AI model training. Ensure data accuracy and consistency for model development. Business Intelligence & Visualization Develop interactive data dashboards and reports using BI visualization tools (e.g., Power BI) to support business reviews and technical monitoring. Translate complex data into clear and actionable insights. Data Support & Troubleshooting Manage and prioritize data support requests from business and product teams. Troubleshoot and resolve data-related issues across multiple systems, ensuring data consistency. Proactively identify and resolve data discrepancies. Data Integration Design and build scalable data integrations to support business needs. Collaborate with engineering teams to develop and maintain high-volume inbound and outbound integrations. Collaboration Work closely with cross-functional teams, including product managers, engineers, and business stakeholders. Job Requirements Bachelor&aposs degree in Computer Science, Statistics, Analytics, Information Management, or a related technical field. 3+ years of hands-on experience in data integration, data engineering, or data analysis. Proficiency in SQL, Advanced Excel, and Python. Experience with Big Data platforms (e.g., BigQuery, Spark, Airflow). Familiarity with data modeling, analytics, and forecasting techniques. Experience with BI visualization tools (e.g., Power BI, Tableau). Fluency in both spoken and written English, Mandarin will be added advantage. Show more Show less