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Data Engineer/ Data Scientist

RM 2,800 - RM 3,500 / month

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Tasks:

  • Identify data source required for analytics
  • Responsible to perform thorough data testing and validation in supporting data ingestions while ensuring data quality
  • Analyse and organize raw data from different source systems to build dataset and data model adhering to the data architecture
  • Assembling simple to large sets of data that meet all functional business requirements
  • Work closely with the data science and business units to develop data models and pipelines for research, visual analytics and machine learning
  • Work closely with IT team to automate manual process in handling data scripts
  • Understand the data, maintain documentation and assist in data related queries
  • Ensure compliance with data governance and company security policies
  • Support Senior Data Engineer in delivering analytics solutions

Requirement:

  • At least a Bachelor or Master Degree in Computer Science / IT / IS or its equivalent
  • Experience with distributed computing, data warehousing concepts, data modelling/architecture and building SQL scripts to support data transformation and data delivery
  • Experience with big data tools such as Hadoop, Spark, etc
  • Experience with cloud solutions preferably AWS
  • 1-2 years working experience, fresh graduates with internship are welcome to apply
  • Proficiency in writing Python, Pyspark, SQL & Unix
  • Familiarity with data science techniques

#recruitfirst

Job Types: Contract, Fresh graduate
Contract length: 6 months

Pay: RM2,800.00 - RM3,500.00 per month

Benefits:

  • Additional leave
  • Maternity leave
  • Opportunities for promotion
  • Professional development

Schedule:

  • Day shift
  • Fixed shift
  • Monday to Friday

Supplemental Pay:

  • Overtime pay
  • Performance bonus

Education:

  • Bachelor's (Preferred)

Experience:

  • Hadoop: 1 year (Preferred)
  • Spark: 1 year (Preferred)
  • SQL: 1 year (Preferred)
  • Python: 1 year (Preferred)
  • AWS: 1 year (Preferred)

Work Location: In person