– Strong DevOps Engineer (Cloud, Docker) Profile
Mandatory (Experience) – 1+ years of proven experience in DevOps Engineering.
Mandatory (Skills 1) – Proficiency in managing any cloud infrastructure (AWS / Azure, Google Cloud)
Preferred (Skills 2) – Experience in designing and maintaining data pipelines and ETL processes.
Preferred (Skills 3) – Basic knowledge of Python
Mandatory (Experience) – Exposure to containerisation tools such as Docker
Preferred (Experience) – Orchestration tools like Kubernetes.
Roles & Responsibilities :
– Design, build, and maintain scalable data pipelines and ETL processes to handle data from multiple sources.
– Implement and manage data infrastructure on AWS, ensuring high availability, scalability, and security.
– Develop and optimize basic SQL queries and scripts to ensure efficient data retrieval and transformation.
– Collaborate with stakeholders to understand data requirements and deliver solutions that meet business needs.
– Help automate data workflows and pipeline deployments using DevOps tools and best practices.
– Monitor and troubleshoot data pipelines, ensuring timely resolution of issues and continuous improvement.
– Maintain documentation of data workflows, processes, and infrastructure.
– Implement basic data security and compliance best practices.
– Work with MongoDB for specific data storage and retrieval tasks, as needed.
How to Apply:
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
