Data & Analytics Engineer BI Engineer Data Scientist

Scicom MSC Berhad

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profile Job Location:

Kuala Lumpur - Malaysia

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

Responsibilities

  • Design develop and maintain data integration data modelling and analytics solutions
  • Build and optimize ETL/ELT pipelines and data processing workflows
  • Develop dashboards reports and visualization solutions for business stakeholders
  • Support big data platforms and distributed systems
  • Perform data analysis to support business decision-making
  • (Optional) Train and optimize algorithms/models for specific business problems
  • Collaborate with business IT and platform teams to ensure data quality and availability

Requirements

  • Bachelors degree or above in Computer Science Software Engineering or related field
  • Solid experience with SQL and relational databases (Oracle SQL Server MySQL etc.)
  • Experience in data modelling data processing and analytics
  • Familiar with BI or analytics platforms and visualization development
  • Understanding of big data or distributed systems concepts
  • Good problem-solving skills and attention to detail
  • Working proficiency in English; Chinese is a plus

Nice to Have

  • Azure big data stack (Databricks Data Lake Synapse)
  • Experience with stored procedures and performance monitoring
  • Data science or machine learning experience

    The Package:

  • Attractive Basic Salary - From RM4300 up to RM 10000 based on experience)
  • Performance related bonus for confirmed staff.
  • Annual Leave 15 days.
  • Medical Leave 14 days.
  • Medical and hospitalization coverage.
ResponsibilitiesDesign develop and maintain data integration data modelling and analytics solutionsBuild and optimize ETL/ELT pipelines and data processing workflowsDevelop dashboards reports and visualization solutions for business stakeholdersSupport big data platforms and distributed systemsPerfo...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala