Data Engineer

Overview

Hybrid
$70 - $80
Contract - W2
Contract - 6 Month(s)

Skills

ADF
Analytics
Big Data
Business Intelligence
Business Rules
Data Extraction
Data Lake
Database
Databricks
Extract
Transform
Load
Microsoft Azure
Microsoft BI
Microsoft SQL Server
Microsoft SSAS
Microsoft SSIS
Microsoft SSRS
Reinsurance
Scheduling

Job Details

We are currently seeking an Date Engineer that has experience working with Reinsurance broking data, including placements, treaty structures, client hierarchies, and renewal workflow

REQUIRED

  • Reinsurance Experience
  • Work ONSITE 3 days a week in Princeton, NJ
  • Azure BI Solutions; Azure Data Factory, Azure Databricks, & Azure Analysis Services

Skillset / Duties:

  • Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
  • Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SSIS, SSRS.
  • Strong Understanding in Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory.
  • Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between systems using Azure Data Factory (ADF).
  • Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
  • Experience in developing staging zone, bronze, silver and gold layers of data

Role: Data Engineer

Location: Hybrid (Onsite 3 days in Princeton, NJ)

Type: w2 Employee

Duration: 6 Months (Contract / Contract to Hire)

Preferred Requirements

  • Familiarity with reinsurance broking data, including placements, treaty structures, client hierarchies, and renewal workflows.
  • Understanding of actuarial rating inputs and outputs, including exposure and experience data, layers, tags, and program structures.

Vertex Solutions Inc is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, genetics, sexual orientation or any other basis prohibited by applicable law

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