▷ High Salary! Data Engineer

About Us

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Selector is building an operational intelligence platform for digital infrastructure.

By adopting

an AI/ML-based analytics approach, the platform provides actionable multi-dimensional

insights to network, cloud, and application operators.

It enables operations teams to meet

their KPIs through seamless collaboration, search-driven conversational user experience,

and automated data engineering pipelines.

Our solutions are used by leading Telecoms, Media Providers, Retail, and Professional

Sports organizations across the world.

Our novel approach and rapidly expanding footprint

put us in the unique position for continued growth to become a category leader.

To fuel our

growth, we are seeking passionate, high-energy, results-oriented individuals to join our

team.

Our mission is to deliver world-class solutions on behalf of the large enterprise.

Supported

by leading investors, Selector is uniquely positioned to deliver a world-class solution to

address large enterprise requirements across the globe.

Selector offers a discretionary PTO policy, health insurance, 401k, the opportunity for a

bonus, and more.

Responsibilities

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● Be a technical expert on Selector’s operational analytics solution for networks,

applications & security workflows;

● Take a hands-on role in the integration of product to meet customer requirements;

● Deploy Selector’s solution at customers, including understanding their data, workflow

& analytics requirements;

● Ensure that customers are adequately enabled for use, understanding & self serve

extensions of Selector’s capabilities;

● Collaborate with sales team and partners for pre-sales activities;

● Own design, development & execution plans for POC, and lead to completion of

deployment;

● Improve the product features and quality through enhancement proposals and

customer reviews.

Requirements

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● 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, AWS CloudFormation Templates,

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