Cloud and DevOps Engineer

Planet10; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading company seeks a Data Engineer to apply advanced data engineering methods and analytics to support business interests. The role involves developing data platforms, performing ETL processes, and collaborating with data scientists to deliver actionable insights. Ideal candidates will have 5-7 years of experience and relevant AWS certifications.

Qualifications

• 5-7 years of experience in data analysis.
• Certifications in AWS cloud technologies, from foundational to specialist levels.
• Experience with data visualization tools.

Responsibilities

• Support or lead data scientists using open-source and cloud-based technologies.
• Build and perform ETL processes from diverse data sources.
• Create visualizations and dashboards to present insights.

Skills

Data visualization skills

Effective communication

Time and project management

Teamwork

Adaptability

Education

Certifications in AWS cloud technologies

Certifications in data tools

Tools

Power BI

Amazon QuickSight

Job description

This role will be responsible for applying data engineering methods, including data engineering, analytics, data architecture, big data, machine learning, deep learning, artificial intelligence, and predictive analytics to meet the company's business interests and those of our clients. You will assist in developing data platforms and products, identifying key business questions through data collection, and utilizing statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers.

Job Responsibilities:

1. Support or lead data scientists using a variety of open-source and cloud-based technologies to solve data analysis and prediction problems.
2. Build and perform ETL processes from diverse data sources.
3. Identify and act on new opportunities for data-driven business insights.
4. Generalize existing solutions to address new problems.
5. Collaborate with team members to develop data science methods and tools.
6. Develop proficiency in analytical modeling across various platforms.
7. Utilize the latest tools and technologies to achieve results.
8. Pre-process and transform data for modeling and analysis.
9. Troubleshoot data quality issues and collaborate on solutions.
10. Conduct descriptive analytics to identify trends and patterns.
11. Create visualizations and dashboards to present insights.
12. Ensure data quality and compliance in output products.
13. Participate in continuous improvement efforts to enhance data quality and delivery speed.

Minimum Requirements:

• 5-7 years of experience in data analysis.
• Certifications in AWS cloud technologies, from foundational to specialist levels.
• Certifications in data tools.
• Experience with data visualization tools such as Power BI or Amazon QuickSight.

Skills:

• Developing, building, and modeling ETL tools.
• Data visualization skills.
• Time and project management abilities.
• Effective communication with stakeholders and clients.
• Adaptability to changing, unstructured environments.
• Teamwork with diverse skill sets and opinions.
• Contributing ideas in team discussions.