Technical Leader (NodeJS)
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product
Technical Skills:
NodeJS, Data Engineering
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01011
Status:
Close
Related Job:
Data Experience Lead
Ho Chi Minh - Viet Nam
Product
- Data Science
- Management
Train pods in designing, building, deploying, and maintaining Data Products based on established playbooks. Simplify and translate platform playbooks into actionable user guides. Assist teams transitioning into new Data Mesh roles (DPO, Steward, Data Architect, Analytics Engineer, etc.). Provide hands-on support for early-wave or complex Data Products. Make data products and platform accessible and engaging for all staff across the organization. Develop a digital enablement portal including guides, checklists, templates, and videos. Create structured training pathways and capability improvement programs for all affected staff/users. Generate clear visual materials such as diagrams, flows, web-style docs, and promotional videos to aid adoption and understanding. Facilitate onboarding, workshops, roadshows, Q&A sessions, town hall presentations, and demos. Offer structured guidance across ingestion patterns, medallion design, semantics, quality, and metrics to ensure consistency in a mesh environment. Execute or coordinate targeted POCs for pods needing specialized help. Identify and communicate reusable patterns back to the Data Mesh Platform Team. Organize Showcases to create visibility, excitement, and promote reuse. Oversee the end-to-end user experience design for the Data Mesh Platform, aiming for clarity, trust, and ease of use. Shape how users discover, understand, and interact with data products across domains. Maintain UX standards in partnership with the customer-facing UX Design team. Take a deeply user-centric approach to drive change through intuitive and guided technology. Engage with end users to understand needs and gather insights. Integrate continuous feedback loops and iterate quickly to improve platform usability. Ensure all Mesh Experience features support adoption and reinforce the "data-as-a-product" mindset. Maintain active channels for communication and updates. Communicate expectations, standards, and timelines clearly. Highlight wins and success stories to build momentum. Curate relevant external content to support the transformation. Monitor progress of rollout, leader boards, and raise blockers with appropriate stakeholders. Utilize data to highlight platform adoption, culture change, wins, and challenges. Produce clear and compelling summaries on adoption progress for decision making. Manage end user feedback and be the link between users and the platform team.
Negotiation
View detailsSales Leader
Ho Chi Minh, Ha Noi - Viet Nam
Outsource
- Sale
- Management
Acquiring key accounts such as large merchant groups, franchises, and multi-location retail chains through negotiation and deal closure. Identifying cross-selling opportunities for additional financial products within the POS ecosystem. Mastering payment processing fees and hardware technicalities to provide competitive solutions to merchants. Ensuring compliance with standards and minimizing post-audit risks for the Accounting/Risk teams. Coaching and shadowing the sales staff in the field to provide real-time coaching. Taking accountability for the Sales Retention Rate and implementing measures to stabilize the team. Building a culture of ownership within the team and focusing on performance results. Enforcing the use of CRM systems and ensuring compliance with the "No Lead in CRM = No Result" policy. Conducting preliminary reviews of Merchant Service Agreements to eliminate errors. Providing weekly reports focusing on conversion rates and identifying bottlenecks in the sales funnel.
Negotiation
View detailsData Scientist Lead
Ho Chi Minh - Viet Nam
Outsource
- Machine Learning
- Data Engineering
- Cloud
- Management
Creating robust ETL/ELT data pipelines for structured and unstructured data Developing interactive dashboards and visualizations for effective communication of insights Evaluating, deploying, and evaluating machine learning and/or generative AI models Applying statistical analysis and mathematical modeling to extract insights from complex datasets Working with various teams to deliver data-driven solutions Creating and maintaining scalable ML pipelines and APIs for real-time and batch inference Ensuring best practices in model versioning, reproducibility, observability, and governance (MLOps) Staying updated with AI/ML trends and contributing to projects involving semantic search, knowledge graphs, or retrieval-augmented generation as necessary.