Check with seller Quận 12- Tp Hồ Chí Minh Data Engineer Quận 12

Tuyển dụng, việc làm tại Quận 12- Tp Hồ Chí Minh tìm việc làm nhanh chóng

Mô tả công việc  Creation of technical specifications for integrations related to data management, system integration, reporting, transformation and performance.  Design and build of ETL solutions and data integrations  Maintain update-to-date documentation of data catalog, ETL flows, data dictionary.  Design, implement, maintain data models with Ralph Kimball’s Dimensional Modelling methodology. Ensuring technical, security and performance standards are met  Build and maintain data pipelines using tools such as NIFI, Airflow, etc.  Evaluate and define KPIs to monitor and manage data quality  Tuning and improving the performance of DB/DWH.  Support data scientists, data analyst to explore data in Data warehouse.  Build and maintain integration data flow provided to other departments.  Practice sustainable incident response and blameless postmortems.  Participate in end to end engineering solutions with regard to data processing and data delivery and integration, including data processing job/pipeline tool suite, batch framework and platform, micro-service framework and platform.  Work closely with stakeholders to identify improvements in existing processes and new processes that bring meaningful and actionable insight to the underlying data. Quyền lợi được hưởng - Opportunity to work with multicultural environment and travel. - 13th month salary, social insurance - Opportunity to work on new technologies and tools - Performance review and adjust salary twice a year - Very attractive remuneration package - A flat hierarchy and a culture of collaboration across all disciplines - Modern workplace Yêu cầu kỹ năng  Completion of a degree or diploma in Computer Science, Information Technology, Engineering or a related discipline.  English proficiency is required  At least three years of hands-on experience, preferably in big data infrastructure  Experienced with data-lake, data warehouse, data mart  Have experience with a programming language (Python / Go / Javascript) for data processing and analysis.  Experience designing SQL tables, indexing, tuning queries, and optimizations across different functional environments                                 Have experience writing complex SQL queries and using BI tools & libraries, such as Airbyte, Airflow, dbt, Supserset, Kafka, Prefect etc.  Having experience with AWS services                                                                                                                                                                           Be familiar with modern software development practices. (CI/CD, TDD etc.)  Experience building Test and Monitoring pipeline is a plus  Understanding analytical models (preferred)

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