*AWS Data Engineer*
Accenture Australia
Date: 5 days ago
City: Sydney, New South Wales
Contract type: Full time
Great humans needed. Combine the best of your ingenuity and Cloud technologies to build a better world and manage clients towards change. Join us and do extraordinary things.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces. Join Accenture to work at the heart of change. Visit us at www.accenture.com
About you:
As a Cloud Data Engineer, you will design and maintain data analytic road maps and data structures that support business and technology objectives. Naturally inquisitive and open to exploration of underlying data, finding valuable insights and work with functional areas to drive identified actions. You enjoy working both freely and as part of a team and have the confidence to influence and communicate with stakeholders at all levels, and to work in a fast-paced complex environment with conflicting priorities.
About the role:
You will be working on client projects with teams from across our Modern Data Platform and Applied Intelligence practice alongside our industry, functional and technology SMEs on some of our clients most challenging projects. Reporting to the delivery head, you will deliver digestible, contemporary and immediate data content to support and drive business decisions. The key focus of the role is to deliver reports, dashboards and custom solutions for various business critical requirements. You will be involved in all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery and production implementation.
From day one, you will be involved in the design and implementation of complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise and hybrid client technology landscapes. We are looking for 3+ years of experience in data engineering in a customer or business facing capacity and experience in the following:
To be considered for this role you must have:
Ability to understand and articulate requirements to technical and non-technical audiences
Stakeholder management and communication skills, including prioritising, problem solving and interpersonal relationship building
Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment,
Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.
A strong understanding of data modelling, data structures, databases, and ETL processes
An in-depth understanding of large-scale data sets, including both structured and unstructured data
Strong SQL and/or Python knowledge
Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment
Location: Melbourne, Sydney, Canberra
Equal Employment Opportunity Statement for Australia and New Zealand:
At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.
We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to [email protected] or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
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About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces. Join Accenture to work at the heart of change. Visit us at www.accenture.com
About you:
As a Cloud Data Engineer, you will design and maintain data analytic road maps and data structures that support business and technology objectives. Naturally inquisitive and open to exploration of underlying data, finding valuable insights and work with functional areas to drive identified actions. You enjoy working both freely and as part of a team and have the confidence to influence and communicate with stakeholders at all levels, and to work in a fast-paced complex environment with conflicting priorities.
About the role:
You will be working on client projects with teams from across our Modern Data Platform and Applied Intelligence practice alongside our industry, functional and technology SMEs on some of our clients most challenging projects. Reporting to the delivery head, you will deliver digestible, contemporary and immediate data content to support and drive business decisions. The key focus of the role is to deliver reports, dashboards and custom solutions for various business critical requirements. You will be involved in all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery and production implementation.
From day one, you will be involved in the design and implementation of complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise and hybrid client technology landscapes. We are looking for 3+ years of experience in data engineering in a customer or business facing capacity and experience in the following:
To be considered for this role you must have:
Equal Employment Opportunity Statement for Australia and New Zealand:
At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.
We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to [email protected] or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
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