Data Engineer

Company Overview

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.

Job Summary

The Data Engineer will play a crucial role in enhancing Selector’s operational analytics solution, focusing on networks, applications, and security workflows. This position will involve hands-on integration of the product to meet customer requirements and ensuring that customers can effectively utilize and extend Selector’s capabilities.

Responsibilities

• Serve as a technical expert on Selector’s operational analytics solution for networks, applications, and security workflows.
• Take a hands-on role in integrating the product to meet specific customer requirements.
• Deploy Selector’s solution at customer sites, understanding their data, workflow, and analytics needs.
• Ensure customers are adequately enabled for use, comprehension, and self-service extensions of Selector’s capabilities.
• Collaborate with sales teams and partners during pre-sales activities.
• Own the design, development, and execution plans for Proof of Concept (POC) projects, leading them to successful deployment.
• Propose enhancements and gather customer feedback to improve product features and quality.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• Proficient in coding with Python, Ansible, and Terraform.
• Experienced with database technologies.
• A minimum of 3+ years of relevant hands-on coding experience.
• Familiarity with public cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure.
• Hands-on experience with Docker, Kubernetes, AWS CloudFormation Templates, and YAML.
• Proficient in designing SQL queries to extract, validate, and analyze data using Jupyter Notebook.
• Strong communication and comprehension skills, both verbal and written.
• Familiarity with data analytics concepts.

Preferred Skills

• Additional experience with data visualization tools and frameworks would be advantageous.
• Knowledge of machine learning algorithms and their application in data engineering would be a plus.

Experience

• A minimum of 3 years of relevant experience in data engineering or a related field.

Environment

• Specific work setting, location (remote, in-office, hybrid), and environmental conditions have not been specified.

Salary

• Salary information is not provided.

Growth Opportunities

• There are potential career advancement opportunities within the company, though specifics are not provided.

Benefits

• Benefits information is not provided.