Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Skills
ADF
Business Intelligence
Data Lake
Insurance
Microsoft BI
Microsoft Azure
Databricks
SQL
Azure Data Factory
PySpark
MongoDB
Job Details
Role: BI/Azure BI Data Engineer
Location: Princeton, NJ (Hybrid)
Duration: 6+ month s contract
W2 only
Experience required: 10+ Years
Must Have:
- Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. Strong Understanding in Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory and in moving the data from flat files and SQL Server using U-SQL jobs.
- Expert in data warehouse development starting from inception to implementation and ongoing support, strong understanding of BI application design and development principles using Normalization and De-Normalization techniques. Experience in developing staging zone, bronze, silver and gold layers of data
- Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
- Developed notebooks for moving data from raw to stage and then to curated zones using Data bricks.
- Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
- Extensive experience in developing tabular and multidimensional SSAS Cubes, Aggregation, KPIs, Measures, Partitioning Cube, Data Mining Models, deploying and Processing SSAS objects.
Knowledge Preferred:
- Experience with actuarial tools or insurance is preferred. The intent is familiarity with the data terminologies and the hierarchy of data in the Insurance domain, specifically in the below areas
- 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.
- Experience building data pipelines that support actuarial analytics, pricing tools, and downstream reporting for brokers and clients.
Thanks & Regards
Allex Kane
Recruiter
PWS Recruit
| +1 Ext: 406
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