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Data Engineer - AA

Beyondsoft International Kuala Lumpur, Malaysia
Posted 2 days ago Permanent Competitive
COMPANY DESCRIPTION

Beyondsoft (listed by the Shenzhen Stock Exchange, stock code 002649) is a global provider of IT consulting, product and solution services. Relying on strong R&D and innovation capabilities, the company widely adopts emerging technologies based on big data and mobile internet, including big data management platform, enterprise risk warning and public opinion monitoring system, AI-based intelligent operation and maintenance service, and intelligent automated test products. And a wide range of products and solutions, including internationally authoritative software testing qualification training, for a wide range of services in the fields of high technology, internet, finance, retail, logistics, energy, manufacturing, and medical.

For more information, please visit www.beyondsoft.com

RESPONSIBILITIES
  • Design, build, and maintain scalable data pipelines and ETL processes.
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
  • Optimize and tune data processing systems for performance and efficiency.
  • Implement and manage data storage solutions, ensuring data integrity and security.
  • Develop and maintain documentation for data engineering processes and systems.
  • Stay updated with emerging technologies and industry trends to continuously improve data engineering practices.
QUALIFICATIONS
  • Bachelor's Degree in Computer Science or related field.
  • Minimum 2 years of experience in data engineering.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Hands-on experience with Data Warehousing solutions.
  • Extensive knowledge of databases and Big Data platforms, including but not limited to SQL, NoSQL, Hadoop, and Spark.
  • Solid understanding of analytics software and tools.
  • Basic understanding of machine learning concepts.
  • Experience with Azure Technologies, including Azure Data Bricks, Azure Data Factory, Azure Data Lake, Azure SQL, and Power BI.
  • Familiarity with Azure Logic Apps, Azure Functions, and Azure Log Analytics is a plus.
Job ID  3kag9
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