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MD

Senior Azure Data Engineer – Insurance/Reinsurance Analytics

Macpower Digital Assets Edge Private Limited
🇺🇸 United States
On-site
Senior
5 days ago
$70 – $80 / hour
  • Azure
  • Agile
  • Azure Data Factory
  • Azure Databricks
  • dbt
  • Azure SQL
  • MongoDB
  • PySpark
  • Databricks
  • SSIS
  • SSRS
  • SQL
  • ETL
  • Scrum
5 days ago
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Job Summary:We are seeking a highly skilled Senior Azure Data Engineer with deep expertise in Azure BI technologies and strong experience in data engineering and data warehouse development. The ideal candidate will be well-versed in Microsoft Azure data services and have a working knowledge of insurance or actuarial data, particularly in the reinsurance and analytics space. This role requires an individual capable of driving end-to-end data solutions from ingestion to insights while collaborating in an Agile team environment.
Location: Princeton, NJ (Hybrid – 3 Days Onsite Per Week)
Technical Skills Required:
Business Intelligence & Big Data:
  • Azure Data Factory (ADF), Azure Databricks, Azure Analysis Services (SSAS)
  • Azure Data Lake Analytics, Azure Data Lake Store (ADLS)
  • Azure Integration Runtime, Azure Event Hubs, Azure Stream Analytics
  • DBT (Data Build Tool)
Databases:
  • Azure SQL
  • MongoDB
  • PySpark
Experience Requirements:
  • Proven experience in implementing Microsoft BI/Azure BI solutions including ADF, Databricks, SSAS, SSIS, and SSRS.
  • Strong understanding of Azure Big Data technologies (ADLS, ADF, Data Lake Analytics) and data movement using U-SQL jobs.
  • Expertise in data warehouse development from inception to deployment, using normalization and denormalization techniques.
  • Experience developing data lake layers (staging, bronze, silver, gold) for structured and unstructured data ingestion and curation.
  • Skilled in developing notebooks in Databricks to support ETL workflows and data transformation.
  • Experienced in building and deploying Azure Analysis Services tabular models and automating scheduling using Azure Automation Runbooks.
  • Deep knowledge in developing SSAS cubes (tabular and multidimensional), aggregations, KPIs, partitions, and data mining models.
Preferred Domain Knowledge (Insurance/Reinsurance):
  • Familiarity with reinsurance broking data including placements, treaty structures, client hierarchies, and renewals.
  • Understanding of actuarial rating data inputs and outputs—exposures, experience data, layers, and tagging structures.
  • Experience building data pipelines that support actuarial models, pricing tools, and client-facing reporting.
Soft Skills & Team Collaboration:
  • Strong analytical and interpersonal skills with a clear understanding of the Software Development Life Cycle (SDLC).
  • Experience working in Agile/SCRUM methodologies.
  • Proven ability to work independently and collaboratively to meet business objectives.
  • Effective communication and technical documentation skills.
  • Excellent decision-making ability in high-pressure or complex situations.
Must-Have Qualifications:
  • 5+ years of experience with Microsoft Azure BI and Big Data technologies.
  • Demonstrated experience with Azure Data Factory, Databricks, and SSAS.
  • Hands-on in ETL design and development, especially across heterogeneous systems.
  • Practical knowledge of data warehouse architecture and multi-layer data lake modeling.
  • Experience in the insurance or actuarial domain is a strong advantage.

Senior Azure Data Engineer – Insurance/Reinsurance Analytics · Macpower Digital Assets Edge Private Limited

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