This range is provided by Experis Australia. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.Base pay rangeA$85.00/hr - A$100.00/hrAre you an experienced Data Engineer with a passion for building cutting-edge data models and pipelines? We''re looking for a talented individual to join a dynamic team, helping to design and implement innovative data solutions for customers across various industries. If you thrive in a collaborative environment and have a track record of delivering impactful results, this is the role for you.Key Responsibilities:Developing, testing, and supporting end-to-end data flows and pipelines for both batch and near real-time environments.Designing and implementing data models tailored to business requirements across different use cases and industry domains.Leveraging your knowledge of data architectures, modern platforms, and associated technologies to deliver future-ready solutions.Applying data modelling techniques like Third Normal Form (3NF), Dimensional Modelling, ER Models, and Data Vault to meet client needs.Collaborating with internal and external consultants in workshops and project delivery engagements.Creating Proof of Concepts and working demos to showcase capabilities.Mentoring junior team members and fostering their professional growth.Mandatory Requirements:10+ years of experience in IT consulting or technology roles (design, development, testing, or support).3+ years of hands-on experience with Big Data/Data Lake services in both cloud and on-premise environments.Expertise in designing and implementing data models using techniques like Dimensional Modelling on Star or Snowflake Schemas.Proficiency in tools like Erwin and Sparx Systems Enterprise Architect for data model design.Experience with ETL processes, data warehousing, and BI solutions.Strong programming and scripting skills in Python, Scala, SQL, and shell scripting.Experience with cloud platforms such as Azure, AWS, GCP, and IBM, including services like Azure Synapse and Cosmos DB.Solid understanding of containerization, virtualization, infrastructure, and networking.Leadership experience, including mentoring and team management.Desired Attributes:Industry-recognized certifications in relevant technologies.A degree in Computer Science, Information Technology, or a related engineering field.Why Join Us?Work on cutting-edge data solutions across multiple industries.Enjoy a dynamic, collaborative, and innovative work environment.Competitive salary and benefits package.Opportunities for career growth and professional development.If you''re ready to take on the challenge and make a significant impact as a Data Engineer, apply now and Experis will be in contact with you. #J-18808-Ljbffr
Job Title
Data Engineer / Data Modeler