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Data Engineer (Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

• Data Engineering
• Python

Structuring and enriching a variety of data sets. Creating validation tools to improve data quality and integrity. Specializing in deep learning and machine learning applications to analyze data and uncover patterns. Collaborating with research teams to generate signals based on data insights. Automating software development, testing, and deployment processes. Providing technical support to global researchers by diagnosing and solving technical problems.

Negotiation

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam

Product

• C/C++

Responsible for maintaining and improving the existing C++-based tick data processing platform and assisting in the transfer of datasets to a new tick data processing platform Contribute to the enhancement of a new C++-based tick data processing platform by enabling support for additional tick data feeds across asset classes and implementing new features and functionalities Work closely with the Research and Portfolio Management teams to ensure smooth transition from the legacy platform to the new system and support their price volume data requirements for signal generation.

Negotiation

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam

Product

• Devops
• C/C++
• Python
• ...

Create infrastructure and tools to automate complex software processes effectively. Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms. Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems. Collaborate with engineering teams to comprehend requirements and deliver efficient solutions. Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability. Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.

Negotiation

Featured Job

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Data Engineering
• Management

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders. Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments. Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals. Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness. Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows. Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

Negotiation

Featured Job

Data 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

Featured Job

Data 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

NLP 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

Senior 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

Data 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

Data 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

Data 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.

Negotiation