Data Platform Engineer - IC

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 computer science, Engineering, or a related field.
• Minimum 5 years of experience as a Data Engineer, with a focus on building pipelines and configurations.
• Strong understanding of data modeling concepts and able to design various components of data model and data engineering solution.
• Strong knowledge and experience in programming languages such as Python, Java, SQL, etc
• Hands-on experience with Snowflake, Oracle, and MS-SQL is a plus.
• Proficiency in using Linux (or Unix-like OS) as the development environment, including shell scripts and command-line tools.
• Experience with SDLC and/or Agile methodologies such as Scrum and Kanban.
• Strong understanding and application of good industry practices in code versioning, testing, CICD workflow, and code documentation.

• Design and implement optimal data structures and algorithms to develop efficient and scalable applications using Java or Python.
• Integrate applications with various RDBMS, including Snowflake, Oracle, and MS-SQL.
• Utilize Linux (or Unix-like OS) as the development environment and leverage shell scripts and command-line tools.
• Collaborate with data analysts, business end-users, and vendors to design and develop data solutions.
• Apply industry best practices for code versioning, testing, CICD workflows, and code documentation.
• Participate in the Systems Development Life Cycle (SDLC) and/or Agile methodologies like Scrum and Kanban.
• Ensure data quality by using profiling, cleansing, and monitoring tools for data pipelines.
• Solve complex problems with innovative ideas and demonstrate strong analytical skills.
• Work meticulously with details to ensure smooth operations.