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Accenture ETL Architect/Developer

Job Location: Canberra

Regional Description: Australia

Job Number: 00593425

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- Job description

Accenture Big Data ETL Developer, Canberra/Brisbane.
 
Are you curious about how digital is changing the world?  
 
Accenture Digital
 
At Accenture Digital, you will be part of a passionate team leading the way in the fastest paced industry there is. We lead in talent with over 50,000 digital professionals which includes a tremendous breadth and depth of specialized skill sets. Our entrepreneurial nature allows you to work in a “start-up” culture while enjoying the benefits and opportunities of a global business. Your opportunities to learn and grow are almost limitless, with a range of career options across Mobility, Industry X.0, Interactive and Analytics working with diverse teams from Accenture Strategy, Technology, Operations and Consulting.
 
  • To work with the most committed and innovative people in the business and the leading companies in their domain.
  • The opportunity to work together with top tier clients to help them reimagine their business by transforming their products and services, customer experience and front office and back office functions through Artificial Intelligence, Automation and Machine Learning.
  • To be a part of a Design Agency, Business Consultant and Technology Powerhouse as we provide End-to-End Transformation Journey’s for our clients.
  • Excellent possibilities for learning and knowledge gain, resulting in a great possibility to grow as both a person and a professional
  • The ability to balance professional challenges with your personal life. We pride ourselves in diversity and creating a work environment which is flexible for your lifestyle including condensed working week, 0.8FTE and other flexible work benefits.
  • Professional development is also a key part of the total reward package we offer and besides locally, you have opportunities on a global level too.
Job description
 
As the Big Data ETL developer you will be responsible for delivering business solutions utilising ETL tools and techniques to extract data from source systems, cleanse & transform data from disparate sources into a coherent and conformed set of data, and load data into various repositories and archives of the Big Data platform.
 
About you:
  • You are an experienced ETL developer with ability to work with business and technology teams.
  • Strong project delivery and implementation experience in large scale batch and streaming data ingestion, distributed processing, and experience working with Enterprise Data Lakes.
  • Strong experience in metadata driven data ingestion, Big data metadata management, governance and ETL development best practices.
  • Ability to quickly learn new tools and technologies.

Key Responsibilities:

 

As a Big Data ETL developer, you will be responsible for building data ingestion pipelines from heterogeneous data sources into Big Data platform, including:

  • Design and build complex ETL and data wrangling solution in and Agile environment using enterprise level ETL tools and custom applications.
  • Work in an agile environment in a multi-disciplinary team (MDT) setting
  • Working in highly client-facing role to connect and contribute throughout the end-to-end delivery lifecycle of complex and large-scale data ingestion development process.
  • Reverse engineer complex ETL processes and re-design them in a more efficient way.
  • Implement development best practices leveraging standard DevOps tools.
  • Proof of concept execution to prove the value of use cases.
  • Demonstrating success at working both independently and as a valued and inclusive team player.
  • Strong consulting capability with good communication, presentation and supportive business analysis skills.
  • The ability to work well with people across both the business and technology by building trust and sharing your enthusiasm and passion in this space.
  • Interstate travel may be required.
Professional Skill Requirements
  • Solid experience working in Analytics and DWH environment.
  • 3+ years of strong ETL experience with tools like Informatica, Talend, DataStage etc.
  • 2+ years of proven experience in designing high volume and fast big data ETL solutions that have been successfully implemented into a production environment, both batch and stream processing.
  • Clear understanding of Hadoop ecosystem with decent knowledge of data stores & processing engines like HBase, Hive, Kudu, Impala etc. (Cloudera experience is preferred)
  • Deep experience across systems integration, information management, data management and architecture, and business analytics.
  • Experience with large-scale, multi-release information centric projects.
  • Extensive delivery experience leveraging multiple delivery locations (onshore + nearshore/offshore).
  • Experience working in Agile projects with involvement in MVP definition, sprint planning, back-log grooming ad resolving blockers on technical solutions.
  • Minimum Bachelor’s degree preferably in Computer Science/IT. 

About Accenture

 

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 449,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

 

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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