AWS Data Engineer - Permanent - Melbourne

Requirements

• Must have experience in Analysing and organising raw data
  
• Must Design develop and maintain data pipelines using AWS technologies such as AWS Glue Airflow Redshift and databricks
  
• Must Implement data modelling techniques to optimize data and storage and retrieval process
  
• Must have knowledge of Python Pyspark and SQL
  
• Must have Familiarity with code versioning using GIT and Jenkins
  
• Should conduct complex data analysis and report on results
  
• Should build algorithms and prototypes
  
• Explore ways to enhance data quality and reliability
  
• Collaborate with data scientists and architects on several projects
  
• Should have Handson experience with SQL database design
  
• Good to have AWS or Databricks associated certification
  
• Very Good Communication Skills