
Senior Cloud Engineer
3 weeks ago
E-Merge is a data-driven organization that excels in innovative solutions and expert knowledge. As a Senior Data Solutions Engineer, you will be responsible for designing and implementing state-of-the-art cloud, hybrid, and on-prem solutions to drive business growth.
Key Responsibilities:
- Data Wrangling: Extracting and refining large datasets from multiple sources to create reliable assets for evolution.
- Solution Architecture: Collaborating with Solution Architects to design and implement cutting-edge cloud, hybrid, and on-prem solutions.
- Data Pipelines: Designing and implementing optimal data pipelines for each data source and store.
- Analytics Spectrum: Working across the full spectrum of descriptive, diagnostic, predictive, and prescriptive analytics.
- ML Algorithms: Familiarity with clustering, regression, classification, speech recognition, OpenAI, LLMs, vision, search, and translator algorithms.
- DataOps and MLOps: Ensuring solutions are deployed continuously in short delivery cycles with maximum business impact and high quality standards.
- Data Lineage: Maintaining effective data lineage and metadata.
- Dashboards: Designing and developing engaging dashboards for business stakeholders.
- Business Innovation: Applying technical and data analytics expertise to improve existing or proposed business innovations.
To succeed in this role, you will need:
- A bachelor's degree in IT, Engineering, or related sciences.
- At least 6 years of experience as a data solutions engineer in an enterprise environment.
- Experience working in delivery teams with other disciplines to deliver products.
- Strong ability to model and analyze data.
- Solid understanding of data engineering methodologies.
- Proficiency in Azure, AWS, Google, Power BI, MS Fabric, SQL, and Python.
We offer a competitive salary range of R1 million to R1.2 million per annum, negotiable based on experience. This is a permanent/contract hybrid position in Johannesburg, providing an excellent opportunity to grow your career in a dynamic data-driven organization.
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