Data Engineer (Japanese)
# Data Engineer (Japanese) **Smartosc** · Thành phố Hồ Chí Minh · `On-site` 🕒 **Статус:** *Опубликовано: 2 дня назад* · *Источник: Indeed* --- ### About the Role Job Description Data Engineering & Integration - Design, develop, test, and maintain scalable ETL/ELT pipelines across multiple enterprise systems and data platforms. - Build and support data integration solutions for customer, account, product, and reference master data domains. - Develop and optimize data ingestion, transformation, and orchestration processes for batch and near-real-time workloads. - Implement robust error handling, monitoring, and recovery processes to ensure reliable data delivery. - Troubleshoot and resolve data integration, transformation, and performance issues. - Extend existing pipelines, matching, and reconciliation to bring new scope into the Foundational Account Master, including Retail, while maintaining current SMDD Local and SMDD/CVS loads. Data Quality & Master Data - Develop and maintain data cleansing, standardization, validation, and enrichment processes. - Implement data matching, reconciliation, and survivorship logic to support golden record creation and master data management initiatives. - Build and maintain data quality controls, exception reporting, and remediation workflows based on business requirements and governance standards. - Partner with Business Systems Analysts and Data Stewards to implement business rules, data definitions, and quality requirements. - Support ongoing data quality improvement initiatives through root-cause analysis and corrective actions. Cloud Data Platform & Data Warehousing - Develop and support solutions on Azure-based data platforms and Snowflake data environments. - Extend data models, implement transformation logic, and produce curated datasets that support analytics and reporting needs. - Monitor, maintain, and improve performance, scalability, reliability, and cost efficiency of data workloads. - Handover of deliverables to support and operations support teams. Collaboration & Delivery - Collaborate with Business Systems Analysts, Product Owners, Data Architects, Data Stewards, and business stakeholders to translate requirements into technical solutions. - Support the delivery of data products and reporting solutions across customer, commercial, supply chain, finance, and other business domains. Governance, Security & Compliance - Adhere to enterprise data governance, security, and privacy policies. - Ensure solutions meet data quality, auditability, and lineage requirements. Requirements Experience - 3~5+ years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or a related field. - Good Japanese speaking skill (N2+) - Hands-on experience designing, developing, and supporting enterprise ETL/ELT pipelines. - Experience integrating data from multiple source systems, including databases, files, APIs, and enterprise applications. - Experience implementing data transformation, cleansing, validation, and reconciliation processes. - Experience working with cloud-based data platforms and modern data architectures. - Experience supporting data quality, master data, or data governance initiatives in a business environment. Technical Skills Required - Advanced SQL development and query optimization - Python for data engineering and automation - Azure Data Factory (ADF) or equivalent orchestration platform - Snowflake or comparable cloud data warehouse technologies - Data modeling and data transformation design - Git-based source control and version management - CI/CD concepts and deployment practices - Experience developing and troubleshooting ETL/ELT processes - Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, etc.) Preferred - REST API integration and data ingestion - Master Data Management and reference data management - Data matching, survivorship, and reconciliation techniques - Data quality frameworks, monitoring, and exception reporting - Experience with Dynamics 365, Salesforce, SAP, or other enterprise business applications - Experience working with Agile delivery teams Knowledge & Skills - Strong analytical and problem-solving skills. - Ability to understand business requirements and translate them into technical solutions. - Strong attention to detail and commitment to data quality. - Ability to work effectively in cross-functional teams with Business Systems Analysts, Data Stewards, Architects, and business stakeholders. - Effective communication skills with the ability to explain technical concepts to non-technical audiences. Benefits At SmartOSC, we offer the best to your values: - Attractive salary package - Salary review twice a year - Flexible working hours (between 7:30am – 7:30pm on staff’s preference) - Premium health care - Firm’s Certified Qualifications Sponsorship for career development - Annual company trip inside or outside Vietnam - Working in one of the largest digital transformation agencies in Asia – Professional English environment
Наблюдалась 2026-10-15, впервые 2026-10-13, источник — Indeed.