Job Description
DESCRIPTION
As a Data Engineer you will enable data-driven decision making within the Amazon Web Services (AWS) Data Center Infrastructure Operations organization.
The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to: Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.
You should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dash boarding.
Key job responsibilities
The Business Intelligence Data Engineer will:
Primarily support teams within the Infrastructure environment, and long term will have opportunities to support teams in the overall Amazon Web Services community.
Build ETLs to ingest the data into the data warehouse and datalake, as well as end-user facing reporting applications.
Develop, implement and maintain the metrics and reports to enable decision support systems for the organization. This includes working with other teams to develop those metrics from their services.
Partner with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.
Hold or be able to attain an Australian Government Security Vetting Agency clearance (see https://www.agsva.gov.au/applicants/eligibility-and-suitability)
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
BASIC QUALIFICATIONS
Bachelor's degree in computer science, computer engineering, or related field, or GSEC (GIAC Security Essentials) and 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
PREFERRED QUALIFICATIONS
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
As a Data Engineer you will enable data-driven decision making within the Amazon Web Services (AWS) Data Center Infrastructure Operations organization.
The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to: Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.
You should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dash boarding.
Key job responsibilities
The Business Intelligence Data Engineer will:
Primarily support teams within the Infrastructure environment, and long term will have opportunities to support teams in the overall Amazon Web Services community.
Build ETLs to ingest the data into the data warehouse and datalake, as well as end-user facing reporting applications.
Develop, implement and maintain the metrics and reports to enable decision support systems for the organization. This includes working with other teams to develop those metrics from their services.
Partner with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.
Hold or be able to attain an Australian Government Security Vetting Agency clearance (see https://www.agsva.gov.au/applicants/eligibility-and-suitability)
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
BASIC QUALIFICATIONS
Bachelor's degree in computer science, computer engineering, or related field, or GSEC (GIAC Security Essentials) and 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
PREFERRED QUALIFICATIONS
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer- job post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
