
Data Systems Architect
1 week ago
We are looking for a skilled professional to join our team as a Data Engineer. This role involves developing and maintaining complex data systems, ensuring they are scalable and efficient.
The ideal candidate will have a strong background in coding with Python and experience with public cloud platforms such as AWS, GCP, and Azure.
Additionally, they should have hands-on experience with Docker, Kubernetes, AWS CloudFormation Templates, and YAML. A bachelor's degree or higher in a relevant field is required.
As a Data Engineer, you will be responsible for:
- Designing and implementing data pipelines that meet customer requirements;
- Collaborating with the sales team and partners for pre-sales activities;
- Developing and executing plans for proof-of-concept projects;
- Improving product features and quality through enhancement proposals and customer reviews;
Key skills include:
- Proficiency in SQL and experience with Jupyter notebooks;
- Strong communication and comprehension skills, both verbal and written;
- Experience with networks (e.g. Data Center, WAN, SD-WAN, Wifi, DNS/DHCP, Load Balancing);
- Familiarity with network analytics;
- Discretionary PTO policy, health insurance, 401k, bonus, and more;
Join us in creating innovative solutions for the digital age
RequirementsWhile experience with:
- Docker,
- Kubernetes,
- YAML,
is highly valued, it's not necessary. What we look for is potential to grow within the company and adaptability.
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