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(Senior) Data Engineer (Core Development)

Ho Chi Minh - Viet Nam


product, Investment Management

  • Data Engineer
  • C/C++
  • ...

Converting various types of data into standardized outputs for quantitative analysis and financial engineering. Managing the integration of new technologies and initiatives into data standards and structures. Improving data quality and integrity by creating validation tools to measure the effectiveness of data enrichment. Evaluating system performance and providing recommendations for software and data storage enhancements. Creating utility tools to automate the software development, testing, and deployment workflow.

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AI/MLOps & Data Engineering Lead

Ho Chi Minh - Viet Nam


Product, Fintech

  • Data Engineer

We are in need of an AI/MLOps & Data Engineering Lead who possesses strong AI and Data skills. Suitable candidates will join a dynamic and proficient team to improve the quality of products serving a large customer base.Key responsibilities include: Developing and overseeing cross-company data infrastructure Managing data integration and pipelines Collecting data from different internal sources into a data lake Distributing collected data to analysis and ML platforms Establishing and managing data analysis infrastructure Optimizing DWH performance Ensuring data quality.

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Manager, SIEM Engineering – Group Security

Ha Noi - Viet Nam


Bank, product

  • Security
  • Cloud
  • Data

Collaborate with technical teams to design, develop, and implement solutions. Utilize engineering best practices in day-to-day responsibilities. Identify and execute process and architecture improvements. Report and implement risk remediation tasks as appropriate. Manage a team of SIEM engineers, focusing on data management and supporting a transition from the incumbent SIEM. Establish and maintain rigorous processes. Uphold high engineering standards, including documentation. Set the level of urgency within the team for issue resolution. Possess a strong background in data processing and storage, alerting, and searching techniques and technologies to guide and validate the team's work.

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Senior Manager, Data Analytics (BI, DE, DA)

Ho Chi Minh - Viet Nam


Product

  • Data Engineer
  • ...

#Leadership and Strategic Direction: Develop and communicate the strategic vision for the team. Drive the development, deployment, and maintenance of Business Intelligence solutions aligning with organizational goals. Work closely with stakeholders to comprehend business needs and transform them into scalable BI solutions.#Data Engineering and Management: Supervise the development and optimization of data pipelines to ensure data quality and availability. Build and maintain data collection, processing, and analysis from diverse sources to produce reliable insights for businesses and customers.#Collaboration Across Functions: Work with stakeholders from various departments to understand their data requirements and provide actionable insights for their initiatives.#Team Management: Motivate, develop, and lead a team of data engineers and analysts. Foster a culture of collaboration, excellence, and continuous improvement, balancing personal growth with delivering results.#Technology Adoption: Keep up with industry trends, tools, and technologies in Business Intelligence, and propose and implement innovations to improve analytical capabilities.

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Data Analyst

Ho Chi Minh, Ha Noi - Viet Nam


Game

  • Data Analyst

Collecting and processing data: Gather, clean, and analyze data from sources such as Appsflyer, Ad Networks, Firebase, Google Analytics, etc. Ensure that the data is cleaned and well-organized to serve in-depth analysis purposes. Analysis and reporting: Prepare reports based on the collected metrics, evaluate overall product performance, and make recommendations to support product, marketing, and operations teams. Customer behavior classification and research: Analyze and make predictions about player behavior (player churn, spending behavior, etc.). Build predictive models of player behavior to support product development strategies. Support testing and optimization: Assist in conducting A/B tests and propose revenue optimization opportunities based on user data and market insights. Trend updates and task implementation: Continuously update knowledge about the gaming industry and new trends. Perform other tasks as required by higher management.

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Talend Engineer (Big Data)

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Data Engineer
  • ETL/ELT
  • Big Data

Create, test, and implement new ETL pipelines or improvements to existing pipelines in a Big Data environment using Talend Carry out software development for applications, including new development, maintenance and support, and provide production support Translate functional requirements into technical designs Automate the ETL process for various datasets being ingested into the big data platform Develop and integrate software applications following appropriate development methodologies and standards, applying standard architectural patterns, and considering performance and security measures Address customer complaints with data and consider suggestions for improvements and enhancements Make recommendations for technical aspects of projects and system improvements Ensure compliance with established standards and may advise senior managers on technology solutions.

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Data Analyst

Ho Chi Minh - Viet Nam


Outsourcing

  • Data Analyst

This role involves collaborating with a Business Analyst and ETL Developer to develop data models and ETL pipelines, and to carry out validations. The position will also entail close collaboration with clients on a diverse range of innovative projects, including: Interpreting data and converting raw data into structured information Collaborating with a Business Analyst to create data models Working with an ETL developer to build data pipelines and perform validations Collaborating with an ETL developer to create intricate data transformations and mappings using Python

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Cloud Data Engineer

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Data Engineer
  • Cloud
  • Google Cloud
  • ...

Develop and execute the data processing pipeline using Google Cloud Platform (GCP). Collaborate with implementation teams throughout the project lifecycle to offer extensive technical proficiency for deploying enterprise-scale data solutions and leveraging contemporary data/analytics technologies on GCP. Create data processing pipelines and architectures. Automate DevOps procedures for all components of the data pipelines, ensuring seamless transition from development to production. Translate business challenges into technical data problems while incorporating essential business drivers in coordination with product management. Extract, load, transform, sanitize, and authenticate data. Provide assistance and resolution for issues related to data pipelines.

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Data Governance Analyst

Ho Chi Minh - Viet Nam


Fund Management

  • Data Analyst

The Data Governance Analyst position entails primarily managing data governance functions, as well as providing support for other data management duties. This role involves overseeing data stewardship activities, including the establishment of data policies and the management of data quality. The main focus will be on ensuring the integrity, security, quality, and performance of data assets within the investment services environment. #Key responsibilities of the role include: Establishing and enforcing data management policies and standards specifically tailored to investment datasets and enterprise data assets overall. Collaborating with various stakeholders to establish and enforce internal data governance processes and controls, including data lifecycle, ownership, and usage policies. Working with IT security and application security teams to evaluate and address data security risks, while ensuring data privacy and security controls across datasets. Defining and managing metadata and lineage tracking policies for investment service applications and platforms. Ensuring the maintenance of master data, reference data, and data quality in daily operations. Keeping the data glossary current, alongside use-case development and changes. Developing and maintaining data pipelines for operational and analytical requirements. Monitoring data quality, reliability, and performance across data pipelines. Collaborating with the data engineering team to report and resolve data quality issues.

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