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Lead Data Engineer
Ho Chi Minh, Ha Noi - Viet Nam
Outsource
- Data Engineering
- Management
Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.
Negotiation
View detailsData Experience Lead
Ho Chi Minh - Viet Nam
Product
- Project 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 detailsData Scientist Lead
Ho Chi Minh - Viet Nam
Outsource
- Machine Learning
- ...
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.
Negotiation
View detailsNLP Data Engineer
Ho Chi Minh, Ha Noi - Viet Nam
Product
- Data Engineering
- Python
- NLP
The NLP Data Engineer role involves designing, implementing, and overseeing complex data pipelines from various sources with different formats and latencies. Collaboration with data, technology, and research teams is essential to develop and test strong data onboarding and ETL systems, which will be directly used by quantitative investment strategies.
Negotiation
View detailsSenior Data Engineer
Ho Chi Minh - Viet Nam
Product
- Data Engineering
Designing and implementing scalable data architectures aligned with business objectives Building and maintaining data pipelines for ingestion, transformation, and delivery using modern orchestration tools Architecting data solutions across data warehousing, data lakes, and real-time analytics Creating and maintaining data models and documenting the enterprise data landscape Building and maintaining data infrastructure supporting ML model training, deployment, and monitoring Designing and implementing vector database solutions for AI-powered features Developing data pipelines for AI-driven capabilities and ensuring global scalability Implementing DataOps practices to ensure data quality, lineage, and governance Defining and enforcing data strategy and architectural principles Building monitoring and alerting for pipeline health, data quality, and SLA compliance Optimizing query performance and cost efficiency Collaborating with product and engineering teams to translate business requirements into data solutions Driving adoption of modern data practices across the organization Contributing to architectural reviews and technical decision-making Taking ownership of data problems through to resolution
Negotiation
View detailsData Analyst
Ho Chi Minh - Viet Nam
Product
- Data Analyst
Gather, sanitize, and evaluate data from diverse origins to meet business requirements. Construct and maintain fundamental analytical datasets and reports for different teams. Validate and verify data to uphold accuracy, consistency, and dependability. Apply statistical and analytical methods to identify patterns and potential opportunities. Work closely with business stakeholders to grasp needs and provide actionable insights. Carry out thorough analyses of customer behavior, product usage, and market trends. Translate intricate data findings into clear, influential recommendations for business strategies. Support data-informed decision-making across various teams including marketing, operations, finance, and product teams. Create dashboards and Key Performance Indicator (KPI) tracking tools for monitoring business performance. Devise and conduct experiments (e.g., A/B tests) to evaluate initiatives. Deliver insights in a clear and convincing manner to both technical and non-technical audiences. Encourage data literacy by aiding colleagues in understanding and utilizing analytical tools. Share best practices in data analysis, visualization, and reporting. Contribute to documentation and training to elevate organizational analytics proficiency. Allocate time to cross-team projects aimed at enhancing company-wide data capabilities.
Negotiation
View detailsEngineering Manager (Data Platform)
Ho Chi Minh, Ha Noi - Viet Nam
Product
- Data Engineering
- ...
Agile Team Leadership: Guide and coach Agile teams to uphold engineering standards, manage sprint backlogs, clarify responsibilities, ensure code quality, enforce development guardrails, and drive rigorous testing practices. Agile Data Delivery: Oversee Agile execution across data platforms, maintaining excellence in data quality, testing, code review practices, CI/CD pipelines, documentation, and operational readiness. Cross-Functional Collaboration: Partner with data architects, product managers, analytics teams, platform engineers, and governance stakeholders to deliver data capabilities aligned with business priorities. Roadmap Ownership: Lead the execution of the data engineering roadmap, balancing immediate delivery needs with long-term platform sustainability. Architecture & Design: Contribute to the design of data platform architecture across ingestion, transformation, storage, and consumption layers. Engineer Development: Coach engineers to become T-shaped professionals, capable of working across batch processing, streaming, analytics engineering, and platform operations. Technical Debt Remediation: Own and prioritize the resolution of technical and data debt, including legacy pipelines, performance bottlenecks, and data quality issues. Modern Practices: Stay current with evolving data engineering tools, methodologies, and patterns-particularly within the Databricks ecosystem. Lifecycle Accountability: Ensure end-to-end ownership of data solutions, from design and build through deployment, monitoring, and ongoing support. Team Empowerment: Foster self-sufficient, disciplined teams accountable for the reliability and resilience of data products. Process Excellence: Lead initiatives to enhance data delivery through automation, observability, and operational best practices. Continuous Improvement: Inspire teams to innovate, experiment, and embrace continuous delivery as part of their culture. Career Growth: Drive career development for data engineers, partnering with HR to manage performance and define growth pathways.
Negotiation
View detailsSenior Data Engineer, Log Analytics
Ho Chi Minh - Viet Nam
Product
- Data Engineering
Take charge of creating cutting-edge technologies and strategies, focusing on visualizing and analyzing log data effectively. Precisely analyze Syslog and telemetry data to predict and categorize errors and job failures. Work with team members to set new technology directions and deploy advanced log analytics solutions. Collaborate with teams from different areas to identify effective data analysis strategies and methods.
Negotiation
View detailsSenior DevOps (Data Platform)
Ho Chi Minh - Viet Nam
Product
- Devops
- Spark
Managing workloads on EC2 clusters using DataBricks/EMR for efficient data processing Collaborating with stakeholders to implement a Data Mesh architecture for multiple closely related enterprise entities Utilizing Infrastructure as Code (IaC) tools for defining and managing data platform user access Implementing role-based access control (RBAC) mechanisms to enforce least privilege principles Collaborating with cross-functional teams to design, implement, and optimize data pipelines and workflows Utilizing distributed engines such as Spark for efficient data processing and analysis Establishing operational best practices for data warehousing tools Managing storage technologies to meet business requirements Troubleshooting and resolving platform-related issues Staying updated on emerging technologies and industry trends Documenting processes, configurations, and changes for comprehensive system documentation.
Negotiation
View detailsData Engineer (NumPy, Pandas)
Ho Chi Minh - Viet Nam
Outsource
- Data Engineering
- Python
Enrich structured and unstructured data to create datasets. Improve data quality and integrity by developing validation tools to assess the effectiveness of data enrichment. Develop expertise in deep learning and machine learning applications, analyzing and understanding the underlying dynamics and behaviors in the data. Generate insights from the data and collaborate with the research team to create tradable signals. Develop utility tools to automate software development, testing, and deployment workflows. Provide technical support for global researchers, including diagnosing technical problems and proposing solutions to developers.
Negotiation
View detailsData Engineer
Ho Chi Minh - Viet Nam
Product
- Data Engineering
- Big Data
Develop and enhance data ingestion pipelines with Python and PySpark to gather and modify data from various sources such as transactions, KYC, AML, authentication, devices, and logs. Proficiency in SQL, with a preference for PostGres. Design and maintain data models tailored to support Financial Crime/Fraud detection, profiling, and entity resolution. Implement data quality checks and ensure data reliability across all environments. Work closely with Data Scientists, Analysts, Compliance, Operations, and Product/Feature teams to put models and rules into practice. Utilize jobs, workflows, APIs, and streaming to manage extensive data processing workloads. Integrate with external systems, for example, sanctions, ID&V, biometrics, and authentication systems, to enhance risk and identity data. Support automation and monitoring of ETL processes for improved operational efficiency.