Data Engineer - DBSG

at  Beyondsoft International

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of “Using technology to promote social progress, economic development and become a global customer preferred partner” and our concept of “Beyond your expectations”, Beyondsoft is committed to provide our customers in countries along the “Belt and Road” with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

• IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
• New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
• Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

QUALIFICATIONS

• Bachelor’s Degree in Information Technology, Computer Science or related studies
• Minimum 2 years of relevant experience as Data Engineer
• Experience with database technologies (SQL/NoSQL), ETL tools, and big data frameworks (e.g., Hadoop, Spark)
• Strong programming skills in Python, Scala, or Java
• Knowledge of cloud services (AWS, Azure, Google Cloud)
• Experience in banking & finance domain is a required
• Excellent organizational and troubleshooting skill
  Job ID 4bdwr

As a Data Engineer, you will design and construct robust and scalable data pipelines and architectures. Your work will enable other teams to use data more effectively to drive the outcomes of machine learning models and analytics solutions.

Role Responsibilities

• Build and maintain scalable data pipelines
• Implement architectures for data storage, retrieval, and processing
• Ensure high performance and responsiveness to data queries
• Collaborate with data scientists and architects to improve data strategies
• Handle the ingestion, cleansing, and transformation of data