Top Data Engineer Jobs in Malaysia

The Rust Low-Latency Data Engineer will implement high-performance data collection pipelines, maintain exchange data integrations, and architect data pipelines for trading teams. Responsibilities include enhancing market data APIs and supporting various asset classes.

As a Lead Data Engineer at Capital One, you will design, develop, and support technical solutions in a collaborative environment. You'll work with Agile teams on machine learning and data technologies, creating cloud-based solutions, and ensuring code quality through testing and peer reviews.

The Senior Data Science Engineer will develop and integrate statistical and machine learning models into applications, engineer sports data assets, conduct testing, and support junior team members. The role involves collaborating with cross-functional teams and coaching others while focusing on creating best-in-class sports models.

As a Principal Data Engineer at GSK, you will lead the design, development, and implementation of complex software solutions aimed at improving the discovery and delivery of medicines and vaccines. You will oversee the technical roadmap, address challenges, mentor teams, and enhance existing products using innovative technologies.

The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support data-intensive applications. Responsibilities include developing ETL processes, utilizing big data technologies, and ensuring data quality and governance while collaborating with data scientists.

The Senior Data Engineer will act as a liaison between data science, engineering, and business teams, building a data platform and managing projects from requirements to maintenance. Responsibilities include optimizing data pipelines and infrastructure, working with various stakeholders, and mentoring team members.

As a Python Data Engineer, you will build and maintain data ingestion and streaming infrastructure, develop ETL pipelines for data integration, and collaborate with global engineering teams.

As a Data Engineer at Two Six Technologies, you'll analyze complex datasets to inform government operations, leverage software packages, and cloud services to derive insights from large data volumes, and perform statistical analyses for trends. You'll also develop dashboards and recommend solutions to improve data quality.

The Data Engineer will design and build scalable data solutions, ensuring data quality and reliability across the organization. Responsibilities include developing data pipelines with SQL and Python, implementing monitoring systems, and supporting machine learning initiatives while collaborating with stakeholders.

The Data Engineer will analyze various source systems, profile data, address data quality issues, develop ETL/data pipelines, and write complex SQL queries for data extraction. Responsibilities include creating documentation, deploying ETL pipelines, providing production support, and collaborating with stakeholders on data management and troubleshooting.

The Senior Associate Data Engineer will focus on data integration, API management, and building self-service data platforms. Responsibilities include designing cloud-based data solutions, developing ETL processes, and creating reporting services while collaborating with various teams in an agile environment.

The role focuses on leveraging AI models and algorithms to develop consumer products, emphasizing data curation, human annotation quality control, and product direction based on usage data. Successful candidates will contribute to innovative app data strategies to enhance user experience.

As a Data Engineer at Figma, you'll own and scale data pipelines, work with cross-functional teams to derive data requirements, optimize core data models, and establish best practices for analytics and modeling.

As a Data Engineer, you will analyze, clean, and manage datasets to support trading activities. You'll automate ETL processes and work collaboratively with traders and engineers to improve data understanding and accessibility. Strong programming skills and experience with SQL and data visualization are important, along with the ability to communicate findings effectively.

The Data Engineer will design, build, and optimize data pipelines to ensure efficient data flow and accessibility. Responsibilities include developing ETL workflows, configuring database infrastructure, automating data processes, collaborating with teams, and implementing data governance best practices. The role supports the mission of making public web data accessible for AI.

The Data Engineer will design, develop, and maintain ETL pipelines using Matillion to load data into Snowflake. Responsibilities include data integration, optimizing SQL queries, collaborating with stakeholders to understand data needs, and monitoring pipeline performance to ensure efficiency.

As a Financial Data Engineer, you will ensure P&L consistency across asset classes, implement pricing methodologies, troubleshoot discrepancies in data, manage P&L workflows, and develop analytics tools to improve performance evaluation. You will collaborate closely with traders and risk teams for data accuracy and operational improvements while maintaining internal controls and participating in risk reporting committees.