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 requirements Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies.
Experience delivering in an agile environment Design and build pipelines to migrate data from source systems onto enterprise cloud Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks Create 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 security Requirements: 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 Cloud Must have experience building CI/CD pipelines Proven background working on end-to-end projects on an enterprise scale Experience with data visualization tools such as micro strategy, Power BI 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 requirements Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies.
Experience delivering in an agile environment Design and build pipelines to migrate data from source systems onto enterprise cloud Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks Create 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 security Requirements: 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 skills Strong experience working with Glue, S3 and Cloud Must have experience building CI/CD pipelines Proven background working on end-to-end projects on an enterprise scale Experience with data visualization tools such as micro strategy, Power BI 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 available More than 4 years of relevant work experience required for this role Work visa can be provided for this role Expected start date for role: 01 November 2024 Expected salary: $110,000 - $130,000 per year Opportunity Types: Explorers Early Learning - Southbank, VIC News Corporate Services - Southbank, VIC Promote local employment to your region, community or member organisation with a u Workin Talent Community.
Find out more.
#J-18808-Ljbffr
