Your career in Accenture Digital
Accenture Big Data Engineer Consultant/Manager, Australia.
DO YOU WANT TO MAKE A DIFFERENCE IN THE WORLD?
Are you curious about how digital is changing the world?
Join us to lead the digital revolution
Do you want to help the world's leading brands and governments do more for the people they serve through the power of digital? We can help you do it by broadening and deepening the skills you need to succeed in a fast-moving digital environment. Using your digital talents, you will be ready to challenge the status quo and develop new digital strategies, implement digital technologies and run digital processes on behalf of clients.
At Accenture Digital, you will be part of a passionate team leading the way in the fastest paced industry there is. 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, Interactive and Analytics working with diverse teams from Accenture Strategy, Technology, Operations and Consulting.
Big Data Solution and data engineering professionals use Big Data methodologies, solutions, platforms and tools to help organizations optimize their business performance by ingesting, processing, and managing big volumes of fast multi structured data as well as extracting meaningful value from these large volumes of data.
You are an experienced Big Data Engineer with exceptional communication skills.
Strong project delivery and implementation experience in large scale batch and streaming data ingestion, distributed processing, and build of Enterprise Data Lakes.
Strong experience in metadata driven data ingestion, Big data metadata management, governance and implementing data security controls
As a Big Data Solution Engineer, you will be responsible for guiding the full lifecycle of a Big Data solution, including:
Working in highly client-facing roles to contribute throughout the end-to-end delivery lifecycle of complex and large-scale Big Data lakes
Work with/Guide clients on the best application of big data solutions to their current situation
Big data Use case and business case development
Vendor landscape and technology assessment (covering OpenSource and COTS solutions, for example Hortonworks, Cloudera, MapR, Spark)
Establishing and promoting architecture principles for which the platform is developed
Proof of concept execution to prove the value of Big Data use cases
Full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment
Assess emerging trends in storage access which includes the application of existing high performance distributed file system storage technologies for use by applications in lieu to traditional relational database storage methods
Review of all technical approaches for platform enhancements and customer solutions
Maintenance and communication of the current-state architecture (where we are today)
Maintenance and communication of the target-state architecture vision (where we are going)
Leads the translation of the technical architecture into backlog generation
Leads estimation exercises for sprint planning and future release planning
Leads review and signoff of all technical deliverables from the team
Interstate travel required
Professional Skill Requirements
• 10+ years of strong hands-on administrative and development experience in Java, XML, Web Services
• 10+ years of strong scripting experience in Java, PHP, Ruby, Python, R, Scala, Bash and Linux
• 5+ years of proven experience in designing high volume and fast big data solutions that have been successfully implemented into a production environment, both batch and stream processing using frameworks like Apache Nifi/Beam/Flink
• At least 4 years implementation experience on enterprise grade information management platforms including Big Data domain, including:
o Enterprise Data Warehouse / Data Lake architectures
o Extract, Transformation, Load processes and tools
o Data modelling techniques
o Data load frameworks
o Master data and metadata experience
• 5+ years of proven experience in Cloudera/Hortonworks distributions and application programming (MapReduce, Pig, Cascading, Hive, Impala, Storm, Spark etc.)
• Experience in graph/visualization tools (e.g. Qlikview, Tableau, D3)
• Experience in data science practices and their corresponding activities on Cloudera/Hadoop cluster
• Experience in designing solutions for cluster and parallel architecture as well as high-scale or distributed RDBMS and on NoSQL platforms (like Hbase/MongoDB/Cassandra etc)
• 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
• Solution architecture development
• Minimum Bachelor’s degree preferably in Computer Science/IT
• Australian citizenship / PR preferable
Australian Citizenship and baseline clearance for Canberra and Sydney is preferred due to project requirements.
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
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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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