Salary: AUD150000 - AUD175000 per annum
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 DescriptionThe 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 technologies. 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 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, IaaS, SaaS, operations, management, and automation.
- Compare solution alternatives across both technical and business parameters to support the defined cost and service requirements.
- Participate in presales activities and provide estimations.
- Lead and design client implementations, providing full end-to-end consulting.
- Apply methodology, reusable assets, and previous work experience to deliver high-quality work consistently.
- Deliver regular written or oral status reports.
- Manage multiple client engagements effectively.
- Stay updated on new and emerging technologies, patterns, methodologies, and market offerings relevant to clients.
- Adapt existing methods and procedures to create solutions for moderately complex problems.
- Use judgment to define solutions and seek guidance on complex issues.
- End-to-end consulting experience.
- Experience in presales activities and providing estimations.
- Experience designing, developing, optimizing, and troubleshooting complex data-intensive applications using Spark, Databricks, Azure, Data Factory, Synapse, Fabric, Purview, Power BI.
- Proficiency in PySpark, Python, and SQL; familiarity with Java and/or Scala.
- Experience designing and implementing data warehouses and pipelines, including ETL, data integration, and streaming.
- Hands-on experience with AWS Cloud Platform and at least three of the following: Azure, AWS, GCP.
- Ability to engineer for performance, scalability, latency, and reliability.
- DevOps and automation experience is highly desirable.
Mane Consulting specializes in Data & Analytics. For more information on this role or others like it in the market, apply below or contact .
Application DetailsName: (Please include your first and last name.)
Email: (Please include your email address.)
Phone: (Please include your country code.)
CV / Resume: (Please attach your CV or resume.)
Eligibility: (Yes, I am currently eligible to work in the country to which I am applying. / No, I am not currently eligible to work.)
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