
Chief Data Architect
2 weeks ago
We are building an operational intelligence platform for digital infrastructure. By adopting a data-driven analytics approach, the platform provides actionable insights to network, cloud, and application operators.
This enables operations teams to meet their performance goals through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines.
Our solutions are used by leading organizations across various industries.
We are seeking passionate, high-energy individuals to join our team as Data Engineers.
Key Responsibilities- Be a technical expert on our operational analytics solution for networks, applications & security workflows;
- Take a hands-on role in the integration of product features to meet customer requirements;
- Deploy our solution at customers, including understanding their data, workflow & analytics needs;
- Ensure that customers are adequately enabled for use, understanding & self-serve extensions of our capabilities;
- Collaborate with sales teams and partners for pre-sales activities;
- Own design, development & execution plans for proof-of-concept, and lead to completion of deployment;
- Improve product features and quality through enhancement proposals and customer reviews;
- Bachelor's degree or higher in a relevant field;
- Experienced in coding with Python;
- Engineering background or 5+ years of relevant hands-on coding experience;
- Experienced with public cloud platforms such as AWS, GCP, and Azure;
- Hands-on experience with Docker, Kubernetes, and YAML;
- Experienced with designing SQL queries to extract, validate, and analyze data using Jupyter notebook;
- 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;
As a Data Engineer, you will be responsible for developing and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver end-to-end solutions.
With a strong background in Python, cloud platforms, and containerization, you will help us build scalable and efficient data processing systems.
You will also work closely with our sales teams and partners to ensure successful deployments and customer satisfaction.
In addition, you will contribute to the improvement of our product features and quality through enhancement proposals and customer reviews.
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