Data Engineer

Company Overview

Selector is a dynamic Series-B startup focused on building an operational intelligence platform for digital infrastructure. The company leverages an AI/ML-based analytics approach to deliver actionable multi-dimensional insights to network, cloud, and application operators, enabling operations teams to achieve their KPIs through seamless collaboration and automated data engineering pipelines.

Job Summary

The Data Engineer will play a crucial role in enhancing customer satisfaction by serving as a technical expert on Selector’s operational analytics solutions. The position entails hands-on integration of products to meet customer-specific requirements, deploying solutions, and collaborating with sales teams for pre-sales activities.

Responsibilities

• Be a technical expert on Selector’s operational analytics solutions for networks, applications, and security workflows.
• Take a hands-on role in the integration of products to meet customer requirements.
• Deploy Selector's solutions at customer sites, understanding their data, workflow, and analytics needs.
• Ensure customers are enabled to use, understand, and self-serve extensions of Selector’s capabilities.
• Collaborate with the sales team and partners for pre-sales activities.
• Own the design, development, and execution plans for Proof of Concepts (POC) and lead them to successful deployment.
• Enhance product features and quality through proposals and customer feedback.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• Proficient in coding with Python, Ansible, and Terraform.
• Experienced with various database technologies.
• A minimum of 3+ years of relevant hands-on coding experience.
• Familiar 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.
• Skilled in designing SQL queries for data extraction, validation, and analysis using Jupyter Notebook.
• Strong verbal and written communication and comprehension skills.
• Familiarity with data analytics.

Preferred Skills

• Additional experience or knowledge in emerging data technologies and frameworks is a plus.

Experience

• A minimum of 3+ years of relevant hands-on experience in software and data engineering roles.

Environment

• The work setting is not explicitly defined, but given the nature of the role, it may support hybrid or flexible work arrangements based on customer deployment needs.

Salary

• Salary details are not specified.

Growth Opportunities

• Potential for career advancement exists through exposure to various technical aspects of operational analytics and opportunities to lead projects.

Benefits

• Benefits details are not specified.