Data Engineer - Data Modelling

Contract Duration:    7 Months

Location:  Sydney

The Data Engineer is responsible for designing and implementing data models in various data platforms. As a Data Engineer, your responsibilities include:

• Develop, test and support future-ready data solutions for customers across industry verticals
• Develop, test and support end-to-end batch and near real-time data flows/pipelines
• Demonstrate understanding in data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance and information management and associated technologies
• Design and implement data models according to business requirements for specific use cases and/or client’s business domains
• Demonstrate understanding in data modelling schema design approaches and techniques such as Third Normal Form (3NF), Dimensional Modelling, Entity-Relationship (ER) Models and Data Vault
• Demonstrate understanding in Data Asset concept or Data Mesh Architecture and its Domain Data Products
• Develop and demonstrate Proof of Concepts and Working Demos
• Lead or collaborate with other internal/external consultants in consulting, workshops and delivery engagements
• Mentor junior consultants in the practice and delivery engagements

Required Experience

To ensure success in the role you will possess the following skills –

• Minimum of 10+ years of total work experience as a solution designer, developer, tester or support role in IT Consulting or other technology business units across the industry
• Minimum of 3+ years of hands-on development, testing and administration experience with Big Data/Data Lake services in cloud and on-premise
• Minimum of 3+ years of designing and implementing data models in Big Data/Data Lake or Data Warehouse environment using modelling approaches and techniques such as Dimensional Modelling on top of Star or Snowflake Schemas
• Experience in implementing data model products (IFW/BDW/FSDM) from vendors such as IBM and Teradata
• Hands-on experience in data model design tools such as Erwin and Sparx Systems Enterprise Architect
• Experience in applying industry best practices, design patterns and first-of-a-kind technical solutions as developer or administrator on data and non-data specific platforms and applications
• Experience in implementing near real-time data flows/pipelines and distributed streaming applications
• Experience in implementing traditional ETL, data warehousing and BI solutions
• Hands-on development experience and working skill level in Python, Scalar, SQL, shell scripting and other programming/scripting languages
• Hands-on implementation of services sensitive to performance SLAs with high availability, fault-tolerance, automatic fail-over and geographical redundancy
• Working knowledge and hands-on experience with data services (Azure Synapse, Cosmos DB etc) in Cloud Platform such as Azure, AWS, GCP and IBM and other modern data platforms
• Solid understanding of containerisation, virtualisation, infrastructure and networking
• Diverse experience in software development methodologies and project delivery frameworks such as Agile Sprints, Kanban, Waterfall etc
• Experience in presenting to and influencing stakeholders and senior managers
• Team leadership and people manager experience
• Degree in Computer Science, Information Technology or related Engineering courses
• One or more industry-recognised technology certifications or badges