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Technical 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
Experience Required:
Data Engineering
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.
Domain 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.
Team Skills
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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
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Seniority level
Mid-Senior level Employment type
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Contract Job function
Job function
Information Technology Industries
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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
Experience Required:
Data Engineering
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.
Domain 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.
Team Skills
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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
IT Services and IT Consulting, Accounting, and Financial Services Referrals increase your chances of interviewing at HireTalent - Staffing & Recruiting Firm by 2x Sign in to set job alerts for Data Engineer roles.
Doylestown, PA $125,000.00-$135,000.00 3 days ago Principal Consultant -Data Engineer, Azure+ Python!
New Jersey, United States $120,000.00-$130,000.00 6 days ago Piscataway, NJ $65,000.00-$90,000.00 2 days ago New Jersey, United States $50.00-$55.00 3 weeks ago Data and Machine Learning Engineer (E5879)
Iselin, NJ $105,000.00-$190,000.00 1 week ago New Jersey, United States $80,000.00-$160,000.00 18 hours ago Iselin, NJ $120,000.00-$130,000.00 1 week ago Iselin, NJ $77,000.00-$135,000.00 1 week ago Iselin, NJ $135,000.00-$160,000.00 1 week ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr