
Senior Data Engineering Specialist
7 days ago
About Data Engineering
Our MissionWe are revolutionizing the digital infrastructure landscape by developing an operational intelligence platform that leverages AI/ML-based analytics to provide actionable insights.
This cutting-edge platform empowers network, cloud, and application operators to meet their KPIs through seamless collaboration, intuitive search-driven user experiences, and automated data engineering pipelines.
We have gained traction among leading Telecoms, Media Providers, Retail, and Professional Sports organizations worldwide.
To fuel our continued growth and become a category leader, we seek passionate, high-energy professionals with a results-driven mindset to join our team.
We deliver world-class solutions on behalf of large enterprises. Backed by prominent investors, we're uniquely positioned to address global enterprise requirements.
Key Responsibilities:- Be a technical expert in our operational analytics solution for networks, applications & security workflows;
- Take a hands-on role in integrating products to meet customer requirements;
- Deploy our solution at customers, understanding their data, workflow & analytics needs;
- Ensure 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 POC, leading to deployment completion;
- 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 like AWS, GCP, and Azure;
- Hands-on experience with Docker, Kubernetes, AWS CloudFormation Templates, and YAML;
- Experienced with designing SQL queries 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.
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