Role: Data Engineer
Client: Guy Carpenter
Location: NY/NJ (onsite, hybrid role), local preferred
client is looking for someone with strong property insurance background (Eg: Property domain - oil rig company- flood zone, earthquake zone - brick/wood material properties)
10years plus resource
Databricks, Azure, Data Factory
domain knowledge is mandatory
JD Below:
Data Engineering
Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Power BI, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. Good Understanding of Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory and created POC in moving the data from flat files and SQL Server using U-SQL jobs.
Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory(ADF).
Involved in creating the notebooks for moving data from raw to stage and then to curated zones using Databricks.
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
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 skills
Team builder with strong, analytical & interpersonal skills with good knowledge in Software Development Life Cycle(SDLC) and Proficient in technical writing.
Extensive experience in Waterfall, 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 skill under high pressure complex scenarios
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