Description
- Lead a small team of data platform engineers in the design, development, and implementation of data engineering solutions.
- Gather requirements from stakeholders and translate them into technical specifications.
- Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
- Maintain and optimize data systems to ensure high availability and performance.
- Work with other engineering teams to integrate data engineering solutions with other systems.
- Stay up to date on the latest data engineering technologies and trends.
- Assists with the data platform blueprint and design, encompassing the relevant data platform components.
- Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Requirements
- A bachelor Degree in Computer Science, Software Engineering or related major from a reputable university.
- 6 - 10 years of experience.
- Extensive experience with cloud platforms like AWS, Azure, or Google Cloud.
- Expertise in cloud infrastructure provisioning and management.
- Knowledge of cloud security best practices.
- Familiarity with networking and virtualization concepts.
- Experience with cloud migration and hybrid cloud solutions.
- Scripting and automation skills (e.g., using AWS CLI, PowerShell, or Terraform).
- Strong problem-solving abilities.
- Certifications: Cloud-specific certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect are highly regarded.
- Excellent analytical and problem-solving skills
- Excellent communication (written and oral) and interpersonal skills
- Demonstrated teamwork and collaboration in a professional setting
- Flexible and willingness to work on different projects and programming
- Excellent command of English written and spoken.
Created on | 29 Oct 2023 |
Last updated on | 29 Oct 2023 |
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