Data Analytics Development Engineer
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Data & Analytics Development Engineer Primary Role Definition: We are looking for a Data & Analytics Developer to productionize Data Science models for longevity within our platform. This involves working with Python, SQL, AWS, GitLab CI/CD, ETL (extract, transform, load) tools, Terraform, and more. We’ll also look for the Data & Analytics Developer to provide statistical analysis, user data analysis, EDA (exploratory data analysis), and communicate this analysis effectively with the team.
Position information- Hybrid
- Very strong skills in the following areas: Python, AWS (Lambda, SQS, SMS, CloudWatch, DynamoDB, RDS, Athena, etc.), GitLab, SQL, Data Ingestion via multiple API methods, EDA, Terraform, Linux
- Experience deploying and monitoring machine learning models in production
- Experience working with data, data architecture, data modelling, and related software development
- Selfmotivation, with minimal supervision, to produce thorough and high-quality work
- Excellent written and spoken communication skills
- Experience interacting with internal business partners
- Experience working with JavaScript – React, Node.js preferred
- Experience developing Architecture and Dataflow diagrams
- Insurance experience, Commercial Lines insurance experience
- Python
- AWS
- Lambda
- Scheduling (SQS, SMS)
- CloudWatch
- DynamoDB
- RDS
- Athena
- GitLab, GitLab CI/CD
- SQL
- Data Ingestion via multiple API methods,
- EDA
- Terraform
- Linux
- Bonus
- JavaScript – React, Node.js
- Data science oriented experience/skills
- Machine learning experience
- Data visualization and analytics skills