Job Location: Melbourne
Regional Description: Australia
Job Number: 00628045 00628045_en-GB
Are you curious about how digital is changing the world?
Join us to lead the digital revolution
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.
What Accenture Digital offers you:
We are looking for a Big Data Engineer/Solution Architect who has a passion and interest 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 will have the knowledge and previous experience of using Big Data methodologies, solutions and platforms and tools to enable you to help our clients.
You will be expected to be able to work independently and, in a team, and have experience working in an agile environment. You will need to have strong communication skills and be comfortable engaging daily with team members and key client stakeholders. We are looking for someone who has a passion for project delivery and implementation experience in large scale batch and streaming data ingestion, distributed processing, and build of Enterprise Data Lakes. We need someone who has 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:
Focus on designing and implementing Big Data Pipelines
Take ownership for end to end solution integrity (including design, build, test and deploy)
Work with and guiding clients to ensure the best application of big data solutions is chosen for their current situation.
Effectively communicate with clients to contribute throughout the end-to-end delivery lifecycle of complex and large-scale Big Data lakes
Maintain and communicate the current-state architecture (where we are today) and the target-state architecture vision (where we are going)
Support in Proof of concept execution to prove the value of Big Data use cases
Help facilitate the full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment
Review of all technical approaches for platform enhancements and customer solutions
Track and monitor progress of tasks and proactively raise issues which may impact delivery
Support the translation of the technical architecture into backlog generation, estimation exercises for sprint planning and future release planning and the review and signoff of all technical deliverables
Understanding of DevOps pipelines and key Agile concepts
Knowledge of cloud infrastructure (particularly AWS or Azure)
Knowledge of security design, data management, data governance, lineage and audit.
Can demonstrate an understanding across systems integration, information management, data management and architecture, and business analytics
Has deep experience with Cloudera Hadoop (or similar stack such as Hortonworks) distributions and application programming (MapReduce, Pig, Cascading, Hive, Impala, Storm, Spark etc.)
Exposure to working in Agile projects with involvement in MVP definition, sprint planning, back-log grooming ad resolving blockers on technical solutions
Experience leading large-scale, multi-release information centric projects and delivery experience leveraging multiple delivery locations (onshore + nearshore/offshore)
Familiar with 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
Strong understanding of data warehouse, data lake and associated ETL and data processing concepts
Ability to articulate and hold solution discussion with key stakeholders Senior Enterprise Analytics Architects.
Hold a University degree, preferably in Computer Science/IT/Engineering or in a related field
Demonstrate a passion for innovation and new idea generation
Due to the client restrictions, you must reside in Australia with Permanent Residency or be an Australian Citizen to be eligible for this position.
As a leading professional services company with more than 449,000 people working across 120 countries, your career can take many exciting paths. As part of a global diverse workforce you will help organisations across every industry imaginable improve the way they work. Join us and let challenging, interesting and enjoyable work become part of daily life.
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.