**Career Level: Consultant / Manager**
Accenture is a leading global professional services company. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
**As a team**:
The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities, client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.
You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. We have access to world leading assets, training and experts to help your career thrive and grow.
**In our team you will learn**:
- At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
- Become an integral part of our Cloud First & Applied Intelligence team with the credibility, expertise and insight clients depend on.
- You will be working with famous brands and household names - tackling some of the most challenging industry, community and national problems.
**In this role you will**:
- We are looking for hands-on authentic and committed Data Engineers to support clients across a range of industries.
- Responsibilities will include 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
- You will be working on client projects with teams from across our Applied Intelligence practice as well as industry, functional, and technology SMEs on some of our clients most challenging projects
- You will be designing and implementing complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise, and hybrid client technology landscapes
- Additionally, you will be helping translate data to insights that enable the business to make decisions as well as using visualisations to tell a compelling story with data that makes complex topics understandable
- Ensure technical expectations of deliverables are met
- Drive Thought-Leadership on engineering and architectural practices and standards
**We are looking for experience a number in the following skills**:
- 3+ years of experience in data engineering in a customer or business facing capacity
- 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 cloud platforms such as AWS, Azure and GCP
- Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica), including metadata management, SQL development and performance tuning within these database environments.
- Experience in addressing and implementing data quality solutions, data reconciliation framework and strong understanding and experience in building data lineage documentation, and Data Catalogues.
- 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/Python knowledge
- Experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)
- Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment
- End to end implementation of at least 1 big data project using at least 1 of Hadoop, Map Reduce or NoSQL platforms
- Hands-on experience with other technologies in the Hadoop eco-system (e.g. Sqoop, Pig, Hive, HBase, Flume)
- ETL development experience with tools such as Informatica, DataStage, Talend, Ab Initio, etc.
**Set yourself apart**:
- Demonstrating your learning abilities and passion to continue to learn and grow - we believe in #LetThereBeChange and look to you to be on that journey
- Ability to problem solve and network to discover the right solutions in creative ways
- Ability to manage stakeholders, through active