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Data Engineer - RefData

Ho Chi Minh, Ha Noi - Viet Nam

product, Investment Management

• Data Engineering

Developing an automated data processing system and overseeing its maintenance Consolidating and integrating various data sources and databases into a unified system Designing interfaces and micro services using Python Enhancing the organization's data through NLP and AI models Preparing and cleaning semi-structured or unstructured data Creating effective algorithms for data processing Testing and incorporating external APIs Assisting the Business Analysts team

Negotiation

Senior DevOps (Data Platform)

Ho Chi Minh - Viet Nam

Digital Bank, 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

Featured Job

Principal Data Engineer

Ho Chi Minh - Viet Nam

Crypto-focused software, Blockchain

• Data Engineering

Take charge and develop data pipelines and ETL/ELT workflows using AWS tools for real-time insights and partner integrations. Design robust, scalable databases and data infrastructure to handle real-time and batch processing with ease. Create visually appealing dashboards to present key metrics using Tableau, Looker, or QuickSight. Develop and manage real-time streaming pipelines to ensure seamless data flow. Implement CI/CD pipelines for automated deployment of data workflows and infrastructure. Collaborate with app teams to gather the right data, ensuring accuracy and relevance. Deliver clean, secure, and timely datasets to external partners for easy data sharing. Mentor and develop a team of data engineers, promoting a culture of innovation and collaboration. Monitor and optimize data systems for optimal performance and resolve any issues proactively. Drive adoption of AWS-native tools and modern data stack tech to stay ahead of the curve. Collaborate with stakeholders on turning business goals into data-driven successes.

Negotiation

Senior Python Developer

Ho Chi Minh - Viet Nam

Outsourcing

• Python

Create and implement strong Python-based systems for processing and enhancing large-scale structured and unstructured financial datasets. Work closely with quantitative researchers to convert raw data into high-quality, analysis-ready datasets that support signal research and trading strategies. Establish and manage validation and monitoring tools to guarantee data accuracy, consistency, and completeness. Automate software development processes, including testing, deployment, and performance monitoring, to enhance system reliability. Identify and address intricate technical problems related to data infrastructure and toolsets used by global research teams.

Negotiation

Data Engineer

Ho Chi Minh - Viet Nam

Digital Bank, Product

• Data Engineering
• Big Data

Our client is currently working on developing some of the world's fastest growing digital banks, and the data team plays a crucial role in shaping the bank's vision. The aim is to create a platform that encourages economic participation and broadens financial inclusion. This is achieved through the implementation of innovative data and analytic solutions to provide high-quality services and products to our customers, ultimately optimizing the business. If you join as a Data Engineer, your role will involve creating solutions that support informed decision-making and innovation by providing clean, protected, quality, and auditable data from various sources into fit-for-purpose data products. This includes designing, developing, testing, deploying, and monitoring data pipelines in Databricks on AWS from a wide variety of data sources. It also involves designing, developing, testing, deploying, and monitoring scalable code with PySpark and SQL in Databricks. Identifying opportunities to enhance internal process through code optimization and automation will be a part of the role, as well as building data quality dashboards, lineage flows, and monitoring tools to utilize the data pipeline. This provides active monitoring and actionable insight into overall data quality and data governance. You will also be involved in assisting in migrating data from legacy systems onto newly developed solutions, and following and leading best practices on all data security, retention, and privacy policies.

Negotiation

Featured Job

Solution Architect (Data + AI)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

• 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

Senior/Lead Core Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

• Data Engineering
• Python
• AWS

Implement technical infrastructure for compliance initiatives such as SOC 2 and GDPR, including building systems for a future data catalog and managing data access. Design and develop scalable data pipelines for batch and event-driven data ingestion to facilitate real-time analytics and machine learning feature capabilities. Establish foundational patterns for data quality monitoring, including automated freshness and integrity checks for critical data assets to enhance trust and reliability in the data. Proactively lead the migration of analytical workloads from a shared production cluster to a scalable cloud data warehouse, such as Snowflake.

Negotiation