Full-time Data Engineer required to design, develop and implement big data analytics applications on AWS/Azure/GCP cloud
Responsibilities: Liaise with business stakeholders to gather requirementsStrong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environmentDesign and build pipelines to migrate data from source systems onto enterprise cloudCollaborate with cross-functional teams to understand business requirements and translate them into data analysis tasksCreate insightful visualizations and reports to communicate analysis findings to stakeholders.Conduct statistical analysis and hypothesis testing to support decision-making processes.getting applications up and running in production environment, including looking after testing and securityRequirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.5-8 years of experience working as a Data Analyst/Engineer or similar role.Strong experience working with Glue, S3 and CloudMust have experience building CI/CD pipelinesProven background working on end-to-end projects on an enterprise scaleExperience with data visualization tools such as micro strategy, PowerBI and worked on python packages like Matplotlib, or Plotly.Solid understanding of statistical concepts and techniques.Excellent problem-solving and analytical skills.Ability to work independently and collaboratively in a fast-paced environment.Strong communication and interpersonal skills.Job Type: Full-time
Work Authorisation:
Australia (Preferred)Location:Melbourne, VIC (Preferred)
Full-time Data Engineer required to design, develop and implement big data analytics applications on AWS/Azure/GCP cloud
Responsibilities: Liaise with business stakeholders to gather requirementsStrong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environmentDesign and build pipelines to migrate data from source systems onto enterprise cloudCollaborate with cross-functional teams to understand business requirements and translate them into data analysis tasksCreate insightful visualizations and reports to communicate analysis findings to stakeholders.Conduct statistical analysis and hypothesis testing to support decision-making processes.getting applications up and running in production environment, including looking after testing and securityRequirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.5-8 years of experience working as a Data Analyst/Engineer or similar role.Extensive Pyspark coding skillsStrong experience working with Glue, S3 and CloudMust have experience building CI/CD pipelinesProven background working on end-to-end projects on an enterprise scaleExperience with data visualization tools such as micro strategy, PowerBI and worked on python packages like Matplotlib, or Plotly.Solid understanding of statistical concepts and techniques.Excellent problem-solving and analytical skills.Ability to work independently and collaboratively in a fast-paced environment.Strong communication and interpersonal skills.Job Type: Full-time
Work Authorisation:
Australia (Preferred)Location:Melbourne, VIC (Preferred)
Summary of role requirements:Flexible hours availableMore than 4 years of relevant work experience required for this roleWork visa can be provided for this roleExpected start date for role: 01 November 2024Expected salary: $110,000 - $130,000 per year Opportunity Types: Explorers Early Learning - Southbank, VIC News Corporate Services - Southbank, VIC
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