- Collaborate with the CTO/lead data scientist to leverage state-of-the-art open-source and cloud-based technologies in solving data analysis and prediction problems.
- Design and implement extract, transform, and load (ETL) products originating from diverse sources.
- Identify and capitalize on new opportunities for data-driven business in data science and analytics.
- Recognize existing solutions that can be generalized to solve new problems.
- Contribute to a collaborative environment developing data science methods, tools, and problem-solving approaches.
- Become proficient in analytical modeling using various modeling platforms.
- Stay up-to-date with the latest tools and technologies to achieve results.
- Pre-process and transform data for model building and analysis.
- Troubleshoot data quality issues and collaborate with team members to reach solutions.
- Perform descriptive analytics to discover trends and patterns in data.
- Create visualizations, including dashboards to provide insights on large data sets and input to finished reports.
- Analyze output products to ensure data quality and conformance to requirements.
- Pursue continuous improvement efforts to enhance available data quality and speed of delivery.
- 5-7 years of data analysis experience.
- A relevant degree.
- Certifications or accreditations in AWS cloud technologies, foundational, cloud practitioner through to associate, architect, and specialist level.
- Certifications or accreditations in data tools.
- Experience with data visualization tools such as Power BI or Amazon QuickSight.
- Ability to develop, build, and model ETL tools that are fit for purpose.
- Ability to visualize data using various tools.
- Ability to manage time and project deliverables.
- Ability to communicate with stakeholders and clients.
- Ability to work in an ever-changing, unstructured environment.
- Ability to work as part of a team, with vastly differing skill sets and opinions.
- The ability to contribute ideas to the quorum.
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Cloud and DevOps Engineer - Johannesburg - Planet10
Description
Data Engineer
This role involves the application of data engineering methods, including data engineering, analytics, data architecting, big data, machine learning, deep learning, artificial intelligence, and predictive analytics to meet the company's business interests as well as those of our esteemed clients.
Key Responsibilities:
Requirements:
Desirable Skills:
Estimated Salary: $120,000 - $180,000 per annum.
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