Job description

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: zure Data Factory (ADF), Azure Databricks, Azure Analysis Services (SSAS) zure Data Lake Analytics, Azure Data Lake Store (ADLS) zure Integration Runtime, Azure Event Hubs, Azure Stream Analytics DBT (Data Build Tool) Databases: zure 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 zure 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 ctuarial 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 gile/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 zure 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.

Requirements