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Senior Azure Data Engineer Insurance/Reinsurance Analytics

Macpower Digital Assets Edge Private Limited

Princeton, NJ

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JOB DETAILS
SALARY
$70–$80 Per Hour
SKILLS
Actuarial Skills, Agile Programming Methodologies, Analysis Skills, Automation, Big Data, Business Intelligence, Business Intelligence Software, Communication Skills, Customer Relations, Customer Retention/Renewal, Data Analysis, Data Entry, Data Lake, Data Management, Data Mining, Data Modeling, Data Partitioning, Data Warehousing, Database Extract Transform and Load (ETL), Hubs, Insurance, Interpersonal Skills, Microsoft Windows Azure, MongoDB, Performance Metrics, Product Pricing, Reinsurance, SQL (Structured Query Language), SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Scrum Project Management and Software Development, Software Development Lifecycle (SDLC), Structured Data, Team Player, Technical Writing, Unstructured Data
LOCATION
Princeton, NJ
POSTED
10 days ago
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.

About the Company

M

Macpower Digital Assets Edge Private Limited

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