SWE 1 (Data Analysis Focus)

Required Skills

Overview

Making raw data accessible, intuitive, and data scientist ready. This entry-level software engineer loves taking raw data, uncovering common data structures, and building something great. Sure, it may have taken you days to pre-process your data, but what about everyone else? Surely, we can do better. This position is not about running canned algorithms through a perfect data set. This position is about crafting that perfect data set. Integrated into a full stack delivery team, you are identifying customer needs, designing solutions, navigating data, and integrating into production applications.

• Meet with customers to discover blockers and pain points.
• Define requirements and aid in the development of custom applications to support the self-service paradigm for software engineers and data scientists.
• Navigate disparate data stores and formats for integration.
• Integrate boutique solutions into larger applications.
• Determine optimum delivery formats ranging from visualization, schemas, to event automation.
• Establish best practices for development, testing, and deployment of analytic capabilities

Responsibilities

Bachelors Degree in a technical discipline and 3 years of relevent experience

• Production-grade software development experience in Python.
• Strong analytical and problem-solving skills.
• Experience with application development, data integration, and data analysis.
• Basic computer administration including software installation, system configuration, and networking.
• Familiarity with database management systems such as MySQL, PostgreSQL, or MongoDB.

Qualifications

• Experience with Docker, Kubernetes, Git, and Automation Pipelines.
• Expertise in one or more of the following technologies - Elasticsearch, Kibana, Grafana, Redis, Kafka, Nginx.
• Experience with web application/UI development.
• Experience prototyping web applications (JavaScript).
• Analyzing cyber security-related data sets (network traffic, OS events).