Việc làm Sản Xuất và Kinh Doanh Vinfast
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Sản Xuất và Kinh Doanh Vinfast
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Data Architect
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Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
16/08/2024
Hạn nộp hồ sơ:
01/10/2024
Hình thức:
FULL_TIME
Kinh nghiệm:
5 - 6 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
FORTNA partners with the world’s leading brands to transform omnichannel and parcel distribution operations. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery. Our people, innovative approach and proprietary algorithms and tools ensure optimal operations design and material and information flow. We deliver exceptional value every day to our customers with comprehensive services and products including network strategy, distribution center operational design and implementation, material handling automated equipment, robotics and a comprehensive suite of lifecycle services.
At FORTNA, we believe in fostering a workplace that isn't just a job but a movement – a collective effort to redefine success and transform challenges into opportunities. "Join the Movement" encapsulates our commitment to a workplace culture that thrives on collaboration, celebrates diversity, and empowers every individual to contribute to something greater than themselves. Our Team. Our Passion. Our Approach.
POSITION SUMMARY: The Data Architect is a key member of the Fortna Warehouse Execution System (WES) team that identifies, categorizes, organizes, and validates data and transforms that data into meaningful information. This position plays a vital role in building the Business Intelligence capability of the FortnaWES software product.
PRIMARY RESPONSIBILITIES INCLUDE:
At FORTNA, we believe in fostering a workplace that isn't just a job but a movement – a collective effort to redefine success and transform challenges into opportunities. "Join the Movement" encapsulates our commitment to a workplace culture that thrives on collaboration, celebrates diversity, and empowers every individual to contribute to something greater than themselves. Our Team. Our Passion. Our Approach.
POSITION SUMMARY: The Data Architect is a key member of the Fortna Warehouse Execution System (WES) team that identifies, categorizes, organizes, and validates data and transforms that data into meaningful information. This position plays a vital role in building the Business Intelligence capability of the FortnaWES software product.
PRIMARY RESPONSIBILITIES INCLUDE:
- Evaluate business and technical domains to produce representative logical and physical data models.
- Build data models with the flexibility to change when business requirements change.
- Define modeling standards, guidelines, best practices and approved modeling techniques.
- Reconcile multiple logical source models into a single, logically consistent enterprise model.
- Identify significant enterprise data assets as determined by the business impact, decision impact, risk mitigation or organizational impact of the information.
- Establish Master Data Management of significant data assets, and reference data, and lead the stewardship committee.
- Cultivate and manage data governance practices.
- Lead data integration, business intelligence (BI) and enterprise information management programs by rationalizing data processing to support reuse.
- Create data stores, including warehouses, data lakes, data marts, etc., to support the BI initiatives.
- Collect and identify the various metadata assets.
- Model the future state of the data architecture and provide data architecture best practices and guidelines.
- Ensure that critical information assets modeled as part of any project are represented in the enterprise information architecture (EIA) and follow the design guidelines and requirements of EIA.
- Offer thought leadership regarding database design, data modeling, security, integration, mining, and advanced analytics techniques
- Employ initiative, professionalism, and self-discipline in daily interactions.
- 4 Year College Degree (Computer Science or related engineering field).
- 5+ years of conceptual, logical, and physical modeling, particularly for rationalizing data objects.
- Proven capability for managing data migrations between software products and custom apps.
- Ability to define the value of the data asset to the enterprise.
- Ability to collaborate with business stakeholders, analysts, and data stewards to assess whether the model is fit for use.
- Familiar working in Linux environments using open-source software tools.
- Experienced with Extract-Transform-Load (ETL), Extract-Load-Transform (ELT), and Discover-Access-Distill (DAD) processes.
- Extensive expertise in multidimensional data modeling, start schemas, snowflakes, normalized and de-normalized modes, and Kimball methodologies.
- Strong negotiation and consensus building abilities.
- Exceptional ability to communicate in a written, spoken, or visual manner at all personnel levels.
- Able to travel up to 20%, international and domestic.
- Ability to perform essential functions of the job.
- Demonstrated real-world execution implementing data warehouses and data lakes.
- Familiarity working with open-source Linux-based technologies.
- Verifiable record of building an enterprise analytics capability from greenfield.
Khu vực
Sản Xuất và Kinh Doanh Vinfast
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Quy mô:
Trên 10.000 nhân viên
Địa điểm:
Khu Kinh tế Đình Vũ - Cát Hải, đảo Cát Hải, Thị Trấn Cát Hải, Huyện Cát Hải, Thành phố Hải Phòng, Việt Nam.
Công Ty Cổ Phần Sản Xuất Và Kinh Doanh VinFast là công ty thành viên thuộc tập đoàn Vingroup, một trong những Tập đoàn Kinh tế tư nhân đa ngành lớn nhất Châu Á.
Với triết lý “Đặt khách hàng làm trọng tâm”, VinFast không ngừng sáng tạo để tạo ra các sản phẩm đẳng cấp và trải nghiệm xuất sắc cho mọi người.
VinFast đã nhanh chóng thiết lập sự hiện diện toàn cầu, thu hút những tài năng tốt nhất từ khắp nơi trên thế giới và hợp tác với một số thương hiệu mang tính biểu tượng nhất trong ngành Ô tô.
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