Job description

Azure Data Engineer job at Software Guidance and Assistance, Inc.. Princeton, NJ. Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer for a CONTRACT assignment with one of our premier Risk & Reinsurance clients in Princeton, NJ OR NY,NY. Hybrid (3 days on site) Tech Skills : Business Intelligence: • 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 Database Technologies: • Azure SQL • MongoDB • PySpark Required Skills : • 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. • 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 Databricks. • 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. • Team builder with strong, analytical & interpersonal skills with good knowledge in Software Development Life Cycle (SDLC) and Proficient in technical writing. • Experience in Agile software development and SCRUM methodology. • Ability to work independently and as part of a team to accomplish critical business objectives as well as good decision-making skills under high pressure complex scenarios SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy. #LI-JM1 Software Guidance and Assistance, Inc.

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