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Senior Data Engineer
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Job Description:
We are looking for a Data Engineer, you will work directly with the founders and developers to build the backbone of our business. This role will be critical in shaping our initial launch and deploying our analytics at scale. The lead engineer should have prior direct experience designing an effective and efficient database systems to ensure a continuous deployment and delivery of analytics products and services; ideally should have worked on time series databases and have built scalable and extendable web/app-based infrastructures for online applications.
Job Responsibilities:
Architect analytics systems with large-scaled databases, microservices, and distributed computing technologies
Optimized database structures and content delivery performance
Manage and maintain our continuously fast-growing databases
Design and implement data security policy to protect our data sets
Coordinate with project management, software architects, and other engineering teams in determining overall system solutions
Develop and manage end-to-end project plans and ensure on-time delivery
Job Requirements:
High Education in relevant domains (IT Systems, Computer Science and Data Engineering)
3 - 5+ years of prior relevant experience
Hands-on engineering experience in large-scaled databases architectures
Deep understanding and application experience of database management technology
Experience with streaming data architectures and technologies for real-time and low-latency data processing
Experience with cloud based distributed databases management
Hands-on infrastructure development experience
Understanding of agile development methods
Capable to research and explore new domain knowledge independently
Most importantly you are an individual who loves to learn and who thrives in a challenging start-up environment.
Bonus Qualifications
Qualifications related to managing Kubenetes, Docker, CloudID, prometheus, Ansible, terrafarm, Cloudflare
The following cloud certifications are highly desired;
AWS / Google Certified Solution Architect - Professional
AWS / Google Certified DevOps Engineer - Professional
Application of Continuous Integration/Delivery, ClickUp, Jenkins, GitHub, JIRA, Confluence
Been part of the DevOps process to automate the data pipelines.
Login to view salary
Job Description:
We are looking for a Data Engineer, you will work directly with the founders and developers to build the backbone of our business. This role will be critical in shaping our initial launch and deploying our analytics at scale. The lead engineer should have prior direct experience designing an effective and efficient database systems to ensure a continuous deployment and delivery of analytics products and services; ideally should have worked on time series databases and have built scalable and extendable web/app-based infrastructures for online applications.
Job Responsibilities:
Architect analytics systems with large-scaled databases, microservices, and distributed computing technologies
Optimized database structures and content delivery performance
Manage and maintain our continuously fast-growing databases
Design and implement data security policy to protect our data sets
Coordinate with project management, software architects, and other engineering teams in determining overall system solutions
Develop and manage end-to-end project plans and ensure on-time delivery
Job Requirements:
High Education in relevant domains (IT Systems, Computer Science and Data Engineering)
3 - 5+ years of prior relevant experience
Hands-on engineering experience in large-scaled databases architectures
Deep understanding and application experience of database management technology
Experience with streaming data architectures and technologies for real-time and low-latency data processing
Experience with cloud based distributed databases management
Hands-on infrastructure development experience
Understanding of agile development methods
Capable to research and explore new domain knowledge independently
Most importantly you are an individual who loves to learn and who thrives in a challenging start-up environment.
Bonus Qualifications
Qualifications related to managing Kubenetes, Docker, CloudID, prometheus, Ansible, terrafarm, Cloudflare
The following cloud certifications are highly desired;
AWS / Google Certified Solution Architect - Professional
AWS / Google Certified DevOps Engineer - Professional
Application of Continuous Integration/Delivery, ClickUp, Jenkins, GitHub, JIRA, Confluence
Been part of the DevOps process to automate the data pipelines.
Thông tin chung
- Ngày hết hạn: 20/01/2022
- Thu nhập: Thỏa thuận
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