Job Responsibilities:Translate Data Pipeline requirements into data pipeline design, guide and direct the design by working closely with a range of stakeholders including the rest of the architecture team, external developers, data consumers, data providers, and internal/external business users.Contribute to use case development, e.g. workshop to gather and validate business requirements.Model and design the ETL pipeline data structure, storage, integration, integrity check and reconciliation. Standardize all exception control and ensure good traceability during trouble shooting.Document and write technical specifications for the function and non-functional requirements of the solution.Design data model/platform allowing managed growth of the data model to minimize risk and cost of change for a large-scale data platform.Analyze new data sources with structured Data Quality Evaluation approach and work with stakeholders to understand the impact of integrating new data into existing pipelines and models.Bridge the gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions.Requirements:Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering, or related fieldAt least 2-year in data migration and/or data pipelines projects.Proficient in both spoken and written English and Chinese (Mandarin/Cantonese).Strong technical understanding of data modelling, design and architecture principles and techniques across master data, transaction data and data warehouse.Experience with Stored Procedure (PL/SQL) and SQL DDL/DML.Proactive with good problem solving and multitasking skills and task management strategies.Please send resume with expected salary in word format via email: [email redacted, apply via Company website]All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
