Senior Data Engineer

Overview

Required skills and experience: Analyze complex data schemas and relationships to implement information models to capture the data and data relationships. Create ETL processing logic to manage large volume client data sets associated with various types of insurance lines including Worker’s Compensation, Health, and Auto. Integrate 3rd party commercial and public domain data sets to enhance and extend Gradient AI’s ML data assets. Design and implement data pipelines for processing data as part of the overall ML Ops strategy within our Cloud deployment. Collaborate with data scientists to “featurize” the information models and construct Machine Learning models. Assist software engineering team to design and create integration APIs and applications that sit on top of our companies ML data assets. Top 5 Skills: 1. SQL and experience with relational and non-relational/alternative databases(SSRS/SSIS) 2. Demonstrated ability to write effective, scalable Python code 3. Exposure to ETL / BPM tools like Amazon Glue, Apache Spark, 4. Exposure working in a cloud-computing environment (e.g., AWS, GCP, Azure) 5. Exposure to working with Business Intelligence Reporting Tools (Tableau, PowerBI) -Experience working with insurance data is a bonus

Qualifications

• SQL (5+ years)
• Extract, Transform and Load (ETL) (4+ years)
• Python (3+ years)
• 4+ years of experience in ANY of the following:
  • Amazon Web Services (AWS)
  • Microsoft Azure
• 3+ years of experience in ANY of the following:
  • Power BI
  • Tableau

Benefits

Company

Our client is a Software Development company that provides artificial intelligence-driven SaaS solutions exclusively for the insurance industry. Their platform provides bias-free, data-driven insights that helps commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies.