Digital Solutions Consultant I

Job Description

We deliver the world s most complex projects. Work as part of a collaborative and inclusive team . Enjoy a varied challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Digital Solutions Consultant I with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc . AWS Data Engineer is responsible for designing, implementing, and maintaining data architectures and infrastructures on the Amazon Web Services (AWS) cloud platform. This role involves working with various data sources to build scalable, reliable, and efficient data solutions that support analytics and business intelligence initiatives. Data Pipeline Development: Design and develop robust data pipelines to ingest, process, and transform data from diverse sources, ensuring data is prepared for analysis and reporting. Data Modeling and Warehousing: Create and manage data models and warehouses, optimizing them for performance and scalability to support business intelligence tools and analytics. ETL Process Management: Develop and manage Extract, Transform, Load (ETL) processes to source data from various systems, creating unified data models for analytics and reporting. Collaboration with Data Teams: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Performance Optimization: Monitor and optimize data workflows, ensuring efficiency, accuracy, and reliability in data processing and transformation. Data Governance and Security: Implement data governance frameworks to ensure data quality, security, and compliance with relevant regulations and standards.