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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

Offshore

• 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

Engineering Manager (Data Platform)

Ho Chi Minh - Viet Nam

Offshore

• 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

Senior 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

Senior DevOps (Data Platform)

Ho Chi Minh - Viet Nam

Offshore

• 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

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

Offshore

• 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

Featured Job

Solution Architect (Data + AI)

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• AI
• Data Engineering

Guiding technical sales with enterprise clients on Data and AI strategies and use case development. Planning and creating modern data platforms (like data lakes, warehouses, pipelines, delta lakes, streaming, analytics) utilizing Spark, Flink, Kafka, Databricks, Snowflake across AWS, Azure, or GCP. Defining and executing data governance policies, data quality frameworks, and compliance standards to ensure secure and adeptly managed data assets, in line with DAMA-DMBOK principles. Designing MLOps and LLMOps pipelines to bolster scalable AI/ML model lifecycle management. Contributing to pre-sales assets (such as solution patterns, demos, estimations) and supporting go-to-market initiatives. Coordinating and supervising cross-functional technical teams to ensure successful delivery of robust, scalable, and secure solutions Occasionally traveling to customer locations, up to 25% as needed.

Negotiation