Data Engineer

Responsibility

  • Developing systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret
  • Making data accessible so that organizations can use it to evaluate and optimize their performance
  • Transforming source data and target data by ETL tool as well as transform target data to source data.
  • Using programming language and tools, identify ways to improve data reliability, efficiency and quality
  • Ensuring data management and governance to maintain the data integrity. 

Service Scope (Cloud and ETL Tools)

  • Informatica
  • DataStage
  • Oracle DI
  • SSIS
  • Microsoft Azure
  • AWS
  • Google Cloud Platform
  • Other

Requirements

  • Bachelor’s Degree in Computer Engineering, Computer Science, Management Information System, Information Technology or any related fields.
  • New graduates are welcome (0-3 years experience)
  • At least 5 years experience for senior candidates
  • Deep expertise in analyzing complex database query
  • Experience in processing ETL design and development standards and techniques
  • Good knowledge of ETL tools (Extract, Transform and Load)
  • Good knowledge of Hadoop (HDFS, YARN, HBase, Sqoop)
  • Good knowledge of Azure, AWS, GCP cloud data platform
  • Very good analytical, problem-solving and interpersonal skills
  • Good English communications and writing skills are a plus

Submission Form

Send email to [email protected]

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