Feel empowered in this innovative company with AI and data analytics in its DNA. Leverage their global footprint to solve clients' business needs. You'll drive results that combine cutting-edge advanced analytics and automated AI with an integrated suite of leading tools and technologies.
Role Description
The Senior Consultant / Data Engineer role is responsible for the delivery and implementation of integration solutions. The ideal candidate would also be responsible for developing and delivering cloud solutions to meet today's high demand in areas such as AI/ML, IoT, advanced analytics, and open source. Using the latest technologies, their Solution Architect professionals implement state-of-the-art, scalable, high-performance solutions that meet the needs of today's corporate and emerging digital applications.
Key Responsibilities Assist in a full technical discovery, identifying pain points, business and technical requirements, "as is" and "to be" scenarios. Assess the full technology stack of services required including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (Software as-a-service), operations, management, and automation. Compare solution alternatives across both technical and business parameters which support the defined cost and service requirements. Conduct presales activities and provide estimations. Lead and design client implementations through full end-to-end consulting. Apply methodology, reusable assets, and previous work experience to deliver consistently high-quality work. Deliver written or oral status reports regularly. Lead and manage multiple client engagements. Stay educated on new and emerging technologies/patterns/methodologies and market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems. Use considerable judgment to define solutions and seek guidance on complex problems. Ideally you will have: End-to-end consulting experience. Experience designing implementation plans. Experience in pre-sales activities and providing estimations. Experience designing, developing, optimizing, and troubleshooting complex data-intensive applications using Spark, Databricks, Azure, Data Factory, Synapse, Fabric, and Power BI. Must know PySpark, Python, and SQL; comfortable with Java and/or Scala. Comfortable designing and implementing data warehouses and pipelines such as ETL, data integration, and streaming to support teams focused on analytics. Experienced in AWS Cloud Platform with hands-on experience in three or more of the following: Azure, AWS, GCP. Ability to engineer for performance, scalability, latency, and reliability. DevOps and automation experience highly desired. Mane Consulting specializes in Data & Analytics. For more information on this role or others like this in the market, apply below or contact Mark Cornwel-Smith at mane.com.au.
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