Solution Engineer - SAS About our client: Our client is a well known and prestigious multinational consultancy who is working with a Big 4 Banking end client. Employees enjoy access to cutting-edge resources, continuous learning and development programs, and a collaborative environment that fosters creativity and career growth. Our client’s commitment to diversity and inclusion ensures a welcoming workplace for all. Additionally, the company’s focus on sustainability and social responsibility allows employees to contribute to meaningful global initiatives. About the role: Solution Design Team needs a Solution Designer/Engineer to handle business requirements, impact analysis, effort estimation, solution design, as well as governance activities and technical documentation. Key responsibilities will include: Designing and implementing cross-functional solutions that build enterprise data products across various technologies and platforms. Ensuring solutions maximize reuse across multiple programs, engineering Data Products throughout sourcing, design, data quality, and placement to enhance enterprise value and reusability. Identifying the need for, creating, and overseeing the delivery of common enterprise components that improve the delivery and maintainability of data products. Defining solutions that span multiple technologies, including SAS, Hadoop & Big Data, Azure, Teradata Data Warehouse, ETL tools (e.g., Informatica), and BI tools (e.g., Tableau, Power BI). Collaborating with Credit Risk Business Stakeholder, Service Owners, Tech Leads and Line of Business (LOB) Leads to prioritize, size, and assess the requirements and backlog. Ensuring projects and programs align with design principles and standards. Working with business units to understand credit risk-related data elements, including reference data, metadata, and data lineage. Guiding Agile teams in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools, technologies, and DevOps processes. The successful candidate: 5 years of experience in a large and complex Credit Risk and/or Banking environment. 10 years of experience within projects and/or delivery of business and technology solutions, involving engineering of complex data processes. 5 years of Advanced SQL and SAS experience particularly in data manipulation, cleansing using Base SAS, SAS/Macro, SAS DI Studio, SAS Enterprise Guide, SAS Management Console and overall SAS Platform. 5 years of experience in technologies such as Hadoop, Spark, Hive, HBase, Python, Java, Spring Boot, Git, Flink, CosmosDB, Akka, Scala, SQL, Synapse Extensive experience in warehousing, modelling, integration tools such as Informatica, Sterling and be familiar with business intelligence tools such as IBM Cognos/TM1, Power Bi, Tableau. Experience designing for cloud platforms, including serverless architecture, preferably Azure. Desired Attributes and Skills: Hands-on experience with DevOps pipelines, in particular Azure DevOps and Jenkins. What's on offer? This contract is available for an initial 6-month term with an extension of 3 x 6 months. Located in Sydney, this role offers a hybrid working arrangement. How to Apply Please upload your resume to apply. We will be in touch with further instructions for suitably skilled candidates. Please note that you will be required to complete selection criteria to complete your application for this role. Call Farbar Siddiq on 0489 922 211 or email farbarswhizdom.com.au for any further information. Applications close 16/10/2024 5pm Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks.