Senior Big Data Engineer 新加坡 社招 全职 职位 ID：A59045 职位描述 1. Responsible for the research and development of data platform for xiaomi internet businesses. 2. Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a
Big Data Site Reliability Engineer 新加坡 社招 全职 职位 ID：A237998A 职位描述 1. Implement and maintain reliable big data infrastructure systems (e.g., HDFS, HBase, ElasticSearch, Doris, RocksDB, ClickHouse, etc.)2. Design and develop efficiency tools to automate manage large-scale big data system.3. Identify and resolve
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across
[What the role is][LTA-RAOM] SENIOR / EXECUTIVE ENGINEER (DATA STANDARDS AND INFORMATION) [What you will be working on] An exciting opportunity has arisen for a highly capable individual to join our asset management team in the development of
Job Summary We are looking for an experienced Data Engineer to take ownership of our data infrastructures efficiency, performance, and reliability. The ideal candidate will be responsible for auditing our current systems, identifying areas for improvement, and implementing robust
About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
· Analyse the data needs and document the requirements. · Refine data collection/consumption by migrating data collection to more efficient channels. · Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs. · Develop test
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKXs sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKXs sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKXs sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped
Responsibilities Deploy, manage, and support data pipelines in production environments. Build and maintain scalable data processing solutions on AWS cloud platforms. Automate testing, deployment, and monitoring of data pipelines through CI/CD practices. Ensure reliability, performance, and operational stability of
Minimum qualifications: Bachelors degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience
Design, develop, and maintain scalable ETL/data integration pipelines to ingest and transform data from multiple sources. Build and optimize data processing solutions using Python, SQL, and Big Data technologies such as Hadoop and Spark. Ensure data quality, integrity, and consistency across the
Design, develop, and maintain scalable ETL pipelines to extract, transform, and load data from multiple sources into enterprise data platforms. Implement and manage data integration processes to consolidate data from various systems while ensuring data accuracy, consistency, and reliability. Develop and
Minimum qualifications: Bachelors degree or equivalent practical experience. 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go. 3 years of
The incumbent will design, build, and maintain scalable data solutions that support analytics, machine learning, and business insights. Responsibilities include developing robust data pipelines, cloud-based data platforms, analytics solutions, and supporting AI/ML initiatives while ensuring data quality, governance, and operational
Data Engineer-AI Description - Job Summary • This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
Design, develop, and maintain scalable data pipelines using PySpark, Java, and SQL. Build and optimize ETL/ELT workflows for banking data integration and processing. Develop and enhance banking applications and dashboards using Angular. Design and consume REST APIs for
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with mobile application development. Experience in designing and integrating with server-side